A Grammar of Loop Functions

Artifact record

• Artifact version: 0.2.0
• Status: Candidate grammar and landscape document
• Human author and editor: Bobby Simpson
• AI collaborator: ChatGPT, OpenAI GPT-5.6 Thinking
• AI runtime or build identifier: Not exposed in the conversation interface
• Licensor: Bobby Simpson
• License: Intent-Preserving Open License (IPOL), as published by Shimmery Memory
• Composed: August 3, 2026, in a live human–AI dialogue
• Publishing contract used: ShimmeryMemoryPublishingContract 1.1.0
• Primary project attribution: Consentful Cybernetics
• Lineage: This document follows A Pattern Language for Loop Functions, which established a valence-neutral record format and developed the Compensatory Governance Loop as its first worked instance. Version 0.2.0 also cross-pollinates the grammar with Recursive Mutual Modeling and Game-Model Injection, adding operative models, Fractal Identity, model-elicitation, temporal simulation, evidence surfaces, field-to-topology cascades, and intra-agent compensatory governance while preserving the grammar as a separate framework.

This is a versioned working artifact. It is intended to support discovery and disciplined revision rather than finalize a closed ontology.

Authorship, collaboration, and license

Human author and editor: Bobby Simpson
AI collaborator: ChatGPT, OpenAI GPT-5.6 Thinking
Licensor: Bobby Simpson

Authorship note: Developed through iterative human–AI dialogue. Bobby Simpson directed, selected, revised, and approved the published work. References to collaboration or co-authorship describe the creative process and do not assert legal authorship, ownership, endorsement, or agency by the AI system or OpenAI.

The work is released by Bobby Simpson under the Intent-Preserving Open License (IPOL), as published by Shimmery Memory. The attribution to ChatGPT identifies the creative process and the system used; it does not assign the AI system an editorial role, approval authority, legal interest, or responsibility for later revisions made by the human author and editor.

Purpose

This document proposes a grammar for describing recurrent functions in cybernetic systems.

The grammar begins from a simple observation: systems do not merely loop. They loop as something. A recurring process may direct attention, maintain a boundary, update trust, allocate scarce capacity, govern shared action, repair damage, preserve lineage, release an obligation, or perform several of these functions at once.

Calling all of them feedback loops is formally useful but descriptively thin. Calling every socially consequential loop governance is more specific but still too broad. A system may regulate without governing, coordinate without governing, care without governing, remember without governing, or govern by invoking each of those functions.

The purpose of a loop-function grammar is therefore to identify the dominant transformation being performed while preserving enough surrounding structure to compare instances without erasing their differences.

A loop function names the recurrent transformation being performed, not the material, morality, intelligence, consciousness, or institutional form of the system performing it.

A thermostat and a constitutional government may both compare sensed conditions against references and alter future states. That formal resemblance does not make the thermostat a government, grant it moral standing, or imply that social authority can be reduced to temperature control. Cross-scale comparison is useful only when similarities and disanalogies remain legible together.

The grammar is intended to help answer five recurring questions:

1. What function is this system presently performing?
2. What operations and substrate loops make that function possible?
3. Who or what carries each role, reference, burden, and consequence?
4. How does this function compose with, gate, invoke, substitute for, or capture other loops?
5. Which parts of the description are structural, and which are normative choices applied afterward?

The resulting framework is descriptive before normative. It permits consentful, coercive, resilient, brittle, efficient, wasteful, caring, extractive, and other evaluative overlays without building one of them invisibly into every base-class name.

The modeling commitment: preserve levels of description

Many classification errors occur because terms from different descriptive levels are placed beside one another as if they were siblings.

“Governance,” “hierarchical,” “petition-gated,” “anxiety,” “judge,” “legitimate,” and “compensatory” may all describe one institutional process, but they answer different questions:

• Governance identifies a primary function.
• Hierarchical describes an authority topology.
• Petition-gated describes activation and epistemic aperture.
• Anxiety may be an attractor recruiting a participant.
• Judge names a participant role or office.
• Legitimate applies a normative or relational evaluation.
• Compensatory describes why a governance function was assumed or activated.

A grammar becomes useful when it prevents these dimensions from collapsing into one label.

The provisional resolution stack is:

primitive operations → substrate loops → functional loops → recurring patterns → composed systems → normative overlays

This stack is not a claim that every system decomposes into perfectly separable modules. The levels may nest, recur, or change with analytic scale. An Attention Loop can be a substrate of governance, the primary function of a media system, or one operation inside a larger embodied process. The stack is a discipline for asking what kind of claim is being made.

Fields, loops, models, and topology

The grammar requires four analytic surfaces that should not be collapsed.

Field

A field is a distributed, time-varying condition within which participants, loops, and material processes act. A field may describe trust, authority, risk, attention, legitimacy, capacity, incentives, boundaries, semantic expectation, or telic pressure.

A field is not necessarily a substance and need not have one owner. It is an analytic projection of relations, gradients, constraints, affordances, and expectations distributed across a situation.

Loop

A loop is a recurrent transformation that senses, compares, interprets, changes, preserves, or responds to some portion of a field and receives consequence capable of altering a later iteration.

A Trust Loop does not equal trust. It senses and updates a trust field, then changes exposure, verification, interpretation, delegation, or withdrawal. A Governance Loop does not equal authority. It operates within and changes an authority field.

Operative model

An operative model is a situated representation sufficiently complete to support prediction or action. It may include a world-model, self-model, other-model, reflected model, game-model, temporal model, telic field, causal account, and estimate of common knowledge.

The model is not the material field. A bridge can remain unsafe while every participant models it as sound. A relationship can materially change before either participant recognizes the change. Conversely, a model transition can alter behavior before the underlying material condition changes.

Topology

A topology describes how participants, fields, loops, roles, channels, comparators, pools, vetoes, and authorities are connected. Topology determines which signals can reach which loops, which loops can constrain others, where burdens accumulate, and what kinds of handoff or repair remain possible.

Topology is not necessarily fixed. A change in one field may activate a new loop, close a channel, add an intermediary, move a relationship from lateral to hierarchical, or recruit a Compensatory Governance Loop. The grammar must therefore model both state changes within loops and topology changes among loops.

A compact distinction is:

Fields describe distributed conditions. Loops perform recurrent transformations. Models organize situated prediction and action. Topology describes how the parts can affect one another.

1. Primitive operations

Primitive operations are recurrent transformations small enough to appear inside many different loop functions. They are candidates for the grammar’s lowest useful descriptive resolution, not claims about the ultimate ontology of mind, life, matter, or computation.

The initial set includes:

Sensing

A state, difference, or event produces a detectable change in another system.

Sensing may be direct or mediated, precise or noisy, continuous or thresholded. A sensor need not understand what it detects.

Attending

Limited processing capacity is routed toward some sensed conditions rather than others.

Attention is selective. Every attention operation therefore implies both salience and omission, even when neither is consciously chosen.

Comparing

A sensed or represented condition is related to another condition, reference, expectation, boundary, range, or possibility.

Comparison may yield difference, fit, violation, sufficiency, equivalence, threat, opportunity, or uncertainty.

Valuing

A comparison is weighted by significance: how much the difference matters, to whom or what, over which horizon, and relative to which competing differences.

Valuing is broader than moral judgment or price. Pain, novelty, continuity, belonging, viability, permission, and expected loss may all acquire operative significance.

Interpreting

A condition is placed within a model that makes some responses more coherent than others.

Interpretation produces a provisional “what this is,” “what it means,” or “what may follow.” It can be accurate, useful, distorted, inherited, contested, or underdetermined.

Modeling

Sensed, retained, and interpreted conditions are organized into a compressed representation of an entity, relation, field, process, self, game, or possible future sufficient to support prediction and action.

Modeling differs from a single interpretation because the resulting structure persists across more than one signal and influences what later signals can mean. Models may be explicit or tacit, singular or plural, self-revising or self-sealing.

Projecting

A model is advanced across an anticipated interval to estimate possible future states, consequences, opportunities, thresholds, or topology changes.

Projection need not imply numerical simulation or conscious foresight. A reflex, institution, organism, or model-capable agent may carry a compressed expectation of what follows if a condition continues.

Selecting

One response, policy, interpretation, route, or nonresponse is chosen from available possibilities.

Selection may be deliberate, automatic, stochastic, negotiated, constrained, or imposed.

Signaling

A participant changes the informational environment in a way that may alter another participant’s state or behavior.

Signals include language, credentials, alarms, gestures, omissions, refusals, prices, logs, bodily responses, and environmental changes. The signal transmitted is not identical to the meaning received.

Actuating

A selected response changes the material, informational, relational, or institutional field.

Actuation includes movement, restraint, allocation, publication, code execution, legal order, refusal, withdrawal, repair, and deliberate inaction where inaction preserves or changes the field.

Retaining

Some portion of state, consequence, provenance, or interpretation remains available to a later iteration.

Retention can occur in memory, records, habits, bodies, infrastructure, law, culture, or environmental residue.

Updating

Future sensing, comparison, interpretation, valuation, selection, or action changes in response to retained consequence.

Updating is necessary for learning but can also encode superstition, overfitting, trauma, institutional drift, or capture.

Releasing

A participant, capacity, obligation, resource, interpretation, or control claim is reduced, transferred, ended, or returned to a broader field.

Release is not merely the absence of continued action. It may require handoff, settlement, acknowledgment, decomposition, archival preservation, or restoration of optionality.

These operations are provisional. Some may later divide, merge, or prove better described as loops. Their immediate value is to make composition visible.

2. Substrate loops

A substrate loop maintains a recurrent capacity that many other loop functions invoke. It may remain mostly invisible when serving another function and become primary when the maintenance or revision of that capacity is itself the work.

The strongest present candidates are Attention, Value, Memory or Lineage, Signaling, Learning, Modeling, Identity, and Temporal Loops.

Attention Loop

An Attention Loop routes limited sensing or processing capacity toward some conditions, differences, participants, or possibilities rather than others, then updates future salience from consequence.

Attention supplies the aperture through which other loops encounter the field. Governance cannot govern what never becomes legible. Care cannot respond to needs it does not detect. Inquiry cannot investigate what never appears anomalous. Protection can become threat obsession when its Attention Loop amplifies danger signals while suppressing evidence of safety.

An Attention Loop may be primary in media, advertising, surveillance, search, interface design, and contemplative practice. It may be secondary inside nearly every other loop.

Value Loop

A Value Loop maintains or updates what a system treats as significant, desirable, harmful, tolerable, preservable, exchangeable, or releasable; compares sensed conditions and consequences against one or more references; and influences which differences recruit response.

The Value Loop is broader than economic value and more extensive than a single comparator. It includes reference formation, comparison, weighting, conflict among references, and possible revision of the references themselves.

A value may appear as:

• a desired state;
• a viable range;
• a boundary;
• a need;
• a preference;
• a risk threshold;
• a moral commitment;
• a legal standard;
• an exchange equivalence;
• a survival condition;
• a learned aversion;
• an inherited priority;
• a local optimization target;
• or a condition whose loss would change the identity of the system.

A minimal Value Loop can be represented as:

reference, need, boundary, or viable range
                    ↓
sensed or represented condition
                    ↓
comparison and difference
                    ↓
weighting: how much this difference matters
                    ↓
influence on attention, selection, permission, or action
                    ↓
consequence
                    ↓
reinforcement, conflict, revision, or preservation of the reference
                    ↺

The comparator is an operation inside the Value Loop. The reference is a state carried by it. Valuation is the case in which assigning, negotiating, measuring, or revising significance becomes the primary visible function.

A thermostat invokes a narrow Value Loop while primarily regulating temperature. A court invokes plural Value Loops while primarily adjudicating and governing. A budget process may primarily value and allocate. A family negotiating sacrifice may be explicitly revising what it will preserve and what costs it will accept.

The presence of a comparator does not make the reference neutral. A system may regulate perfectly around a target that excludes dignity, future maintenance, ecological burden, minority harm, or the capacity to refuse. The critical questions are therefore:

• Who established the reference?
• Whose condition is sensed?
• Whose value and cost are represented?
• What remains outside measurement?
• How are conflicting values weighted?
• Are incomparable values being forcibly collapsed into one metric?
• Who may revise the reference?
• What lineage does the current reference carry?

Many named loop functions will invoke the Value Loop:

• A Boundary Loop values a distinction worth preserving.
• A Consent Loop compares a proposed effect against boundaries, preferences, capacities, and conditions.
• A Governance Loop compares present conditions and competing claims against purposes, laws, needs, and tolerated ranges.
• A Protection Loop compares exposure against tolerable risk.
• A Repair Loop compares current integrity or capacity against a recoverable or desired state.
• A Care Loop compares another participant’s condition against what that participant appears to require.
• An Evaluation Loop makes the comparison itself explicit.
• A Learning Loop uses consequence to revise future weighting, interpretation, or response.

The Value Loop may therefore be both a cross-cutting substrate and, when valuation itself is primary, a named functional loop.

Memory and Lineage Loop

A Memory or Lineage Loop carries selected state, interpretation, authority, consequence, and provenance across iterations so later states do not begin from zero.

Memory retains. Lineage retains while preserving where the retained state came from, how it changed, and what conditions or authorizations traveled with it.

A record without lineage can preserve a rule while erasing the context that justified it. A lineage without revisability can preserve yesterday’s authority after the system that granted it has changed. Consentful Cybernetics therefore treats provenance and revision capacity as functional infrastructure rather than archival decoration.

Signaling Loop

A Signaling Loop repeatedly alters another participant’s informational environment, observes uptake or non-uptake, and changes future signaling accordingly.

Signaling is more than message transport. It includes the recursive relation among expression, channel, interpretation, response, and adaptation.

A warning that is never acknowledged may intensify. A credential may reduce verification burden. A refusal may fail because the receiving system does not recognize its form. A silence may be interpreted as assent, uncertainty, hostility, incapacity, or absence depending on the surrounding Field Pragmatics.

Signaling can become primary in communication protocols, diplomacy, education, performance, signaling markets, ritual, and propaganda.

Learning Loop

A Learning Loop converts experience and consequence into changed models, expectations, skills, references, thresholds, or response policies.

Learning is invoked by nearly every adaptive function, but it is not guaranteed by feedback. A system can receive consequence without updating, update the wrong variable, learn a brittle local rule, or preserve a valued identity by discarding disconfirming evidence.

Learning may become primary in education, training, experimentation, evolution, model fitting, institutional review, and therapeutic practice.

Modeling Loop

A Modeling Loop constructs, maintains, applies, tests, and revises operative representations of conditions, participants, relations, identities, games, and possible futures so that prediction and action can occur under partial observability.

Sensemaking asks what an occurrence appears to mean. Modeling carries a structured representation forward so that later signals can be interpreted, futures projected, and actions selected. Learning may update a model, but a model can remain active without learning and a system can learn a response without materially revising the representation from which it acts.

A Modeling Loop may maintain several candidate models simultaneously. New evidence can reweight, suspend, combine, or retire them rather than forcing immediate singular belief.

Identity Loop

An Identity Loop constructs, activates, preserves, and revises the context-conditioned self-model through which an operator recognizes its standing, capacities, commitments, boundaries, relations, continuity, and possible actions.

Its core question is:

Who or what am I here, and what must remain continuous—or may change—for action still to belong to this operator?

Fractal Identity describes the topology of this loop. The active self is neither the whole operator nor an arbitrary mask. It is a nested, scale-relative, context-activated configuration. A person may act simultaneously as worker, parent, friend, bodily organism, anticipated future self, and participant in a wider institution. An organization may act as fiduciary, employer, competitor, public institution, and threatened continuity.

Reflected appraisals can enter the Identity Loop through Recursive Mutual Modeling. A participant does not directly receive another participant’s model of it. It receives signals and constructs a model of that model. The resulting reflection may be accepted, discounted, contested, or recruited into self-governance.

Temporal Loop

A Temporal Loop maintains relations among retained past states, present conditions, anticipated futures, deadlines, windows, latency, and path dependencies, allowing a system to activate, suspend, switch, blend, commit to, reopen, or release candidate loop trajectories as conditions evolve.

Its core question is not merely “What time is it?” but:

Which trajectory is becoming active, which alternatives remain viable, and when must commitment occur?

The Temporal Loop supports parallel loop simulation. A model-capable operator may maintain several possible games, identities, policies, or futures at once, projecting each far enough to compare likely consequence without resolving every uncertainty. Temporal governance includes activation thresholds, switching thresholds, commitment deadlines, irreversibility thresholds, reopening criteria, and expiry.

3. Functional loops

A functional loop is classified by the dominant transformation it performs for the system or relation under examination.

The fields below are navigational containers. They are not rigid kingdoms, and an instance may be classified differently at another scale or from another analytic position.

Orientation functions

Orientation loops make conditions available for interpretation and response.

Attention Loop

Routes limited perceptual or cognitive capacity toward some conditions rather than others.

Core question: What receives notice?

Witness Loop

Converts an occurrence into something observed, attestable, or consequentially present for another participant or later state.

Core question: What becomes known to have happened?

Witness [🜹] does not imply omniscience. A witness sees from a position, through an aperture, after some events have already occurred, and with limited capacity to preserve or interpret what enters the field. Witness can support accountability while remaining partial.

Sensemaking Loop

Converts observations into provisional interpretations sufficient to orient possible response.

Core question: What does this appear to mean?

Sensemaking can be individual, distributed, embodied, institutional, cultural, or computational. Its outputs remain models rather than the field itself.

Modeling Loop

Maintains operative representations across signals and consequences so that prediction, simulation, and action remain possible under partial observability.

Core question: What representation am I carrying forward, and what does it make expectable or actionable?

When modeling itself is the primary work—forecasting, diagnosis, strategy, identity construction, simulation, intelligence analysis, or model governance—the Modeling Loop may be classified as the dominant functional loop rather than only a substrate.

Inquiry Loop

Converts uncertainty into directed attempts to obtain evidence, test interpretations, or reduce the space of plausible models.

Core question: What would help us know?

Inquiry alters the epistemic environment rather than merely interpreting what is already available.

Memory or Lineage Loop

Carries selected state and provenance across time.

Core question: What must remain available to later states?

Relational functions

Relational loops structure how distinguishable participants may affect, represent, trust, coordinate with, or exchange with one another.

Boundary Loop

Establishes, detects, communicates, tests, and revises distinctions among self and other, inside and outside, permitted and prohibited, or one jurisdiction and another.

Core question: Where does one participant’s domain end and another begin?

Boundary [🝚] is not merely refusal. A boundary may permit selective permeability, conditional access, negotiated crossing, or temporary closure.

Consent Loop

Converts an invitation or proposed effect into a revisable state of permission, refusal, negotiation, suspension, or withdrawal under particular conditions.

Core question: May this participant or system affect that one in this way, now, under these conditions?

Consent [🝁] appears at multiple descriptive levels:

• as a functional loop managing permission state;
• as a gate invoked by exchange, care, governance, data use, or coordination;
• as an instance property describing participation;
• as a signal whose uptake may succeed or fail;
• and as a proposed stability variable in empirical research.

These uses should be connected without being collapsed. A consent flag in a protocol does not exhaust lived consent. A person’s expressed assent may not remain meaningful if capacity, context, consequences, or exit conditions materially change.

Trust Loop

Converts evidence, relationship, credentials, and witnessed consequence into a willingness to accept vulnerability under uncertainty.

Core question: What risk may be carried without complete proof or control?

Trust is a permission to rely on omitted meaning, anticipated competence, or expected boundary protection. In recursively modeling systems, trust also permits finite recursion: a participant acts without resolving every further model of what the other knows, expects, or believes about the participant in return. It can reduce coordination cost while increasing the consequence of betrayal or model error.

Trust can therefore modulate recursion depth, verification burden, interpretive latitude, delegation, reversibility, and the acceptable compression ratio of a signal or mandate.

Coordination Loop

Aligns the actions of partially autonomous participants so their activities become mutually compatible or jointly productive.

Core question: How do our actions fit together?

Coordination does not require hierarchy, agreement on all values, or a common ruler. It does require sufficient mutual modeling or signaling for actions to become predictably related.

Exchange Loop

Moves resources, information, labor, risk, obligation, recognition, attention, or other valued states between participants and updates their relationship accordingly.

Core question: What passes between us, under what terms, and with what resulting obligations?

Exchange includes gifts, care, barter, markets, conversation, data collection, favors, promises, and attention economies. An exchange can remain materially active while its terms are illegible to one or more participants.

Representation Loop

Converts another participant’s condition, interests, account, or probable preferences into a form that can enter a decision process from which that participant is absent, constrained, or unable to speak directly.

Core question: How does an absent or limited participant become present in the loop?

Representation may later prove to be a role rather than a base function. It is retained here as a candidate because the transformation from unrepresented condition to actionable presence recurs across law, diplomacy, care, interface design, guardianship, ecological stewardship, and intergenerational governance.

Direction functions

Direction loops determine what should, may, must, or will happen when multiple possibilities compete.

Value or Valuation Loop

Maintains or revises operative significance and reference structures.

Core question: What matters, to whom or what, and how much?

Governance Loop

Converts conditions, interests, values, norms, authority, and anticipated consequence into consequential direction for a shared, relational, or nested field.

Core question: Who may decide or constrain what, for whom, under which conditions, and with what accountability?

Governance may be self-directed, bilateral, lateral, hierarchical, delegated, federated, distributed, intersovereign, customary, algorithmic, or contested.

The Compensatory Governance Loop is an activation pattern within this field:

A participant perceives a governance role or function as absent, insufficient, delayed, inaccessible, or illegible and begins to supply, supplement, substitute for, or activate it.

Compensatory governance does not require a subordinate acting sideways. A government may perceive a regulatory gap and create an agency. A court may appoint representation. A superior may assume a neglected function. A neighboring institution may provide continuity. “Sideways management” was the discovery instance, not the boundary of the class.

Prioritization Loop

Orders competing claims on limited attention, time, capacity, or action.

Core question: What comes first?

Priority may be determined by urgency, value, sequence dependency, authority, visibility, fear, or capture.

Allocation Loop

Routes limited resources, capacity, burden, access, opportunity, or risk among possible recipients or uses.

Core question: Who or what receives how much?

Allocation always invokes value, even when the operative value is hidden inside a formula, queue, precedent, market price, or inherited entitlement.

Planning Loop

Converts desired or anticipated states into commitments, dependencies, contingencies, and preparatory actions.

Core question: How might the system get from here to there?

Planning can exist without authority to compel others. Governance may adopt, reject, constrain, or resource a plan.

Operational functions

Operational loops change, preserve, defend, restore, or sustain material, informational, relational, or institutional states.

Transformation or Production Loop

Converts available inputs into a different usable or consequential state.

Core question: What can be made from what is available?

Regulation Loop

Detects deviation from a reference or viable range and applies countervailing or amplifying influence.

Core question: What must change to keep or move the system within a viable regime?

Regulation is broader than governance. Endocrine systems, thermostats, ecosystems, and reflexes regulate without social authority. Governance is one way agentic systems regulate shared conduct and consequence.

Maintenance Loop

Replenishes the conditions required for an existing capacity, relation, infrastructure, or identity to continue functioning.

Core question: What must be renewed so this can keep working?

Maintenance often remains invisible because its success appears as nothing happening. Its burdens become visible when replenishment stops.

Repair Loop

Detects damage, breach, or lost function and acts to restore capacity, integrity, relationship, or optionality.

Core question: What has been damaged, and what would restoration require?

Repair does not always mean return to the prior state. The prior state may have produced the damage. Repair may require revision, restitution, adaptation, or a new boundary.

Protection Loop

Detects credible threat and acts to reduce exposure, vulnerability, or expected harm.

Core question: What must be defended, from what, and at what cost?

Protection can become possession, preemption, securitization, or fortress logic when the protected participant cannot influence the comparator or release the protector.

Care Loop

Detects another participant’s need or diminished capacity and routes attention, labor, resources, presence, or protection toward sustaining that participant.

Core question: What does this being require to remain or become viable?

Care may be reciprocal or asymmetric, invited or emergent, temporary or enduring. Love, duty, attachment, reciprocity, proximity, and identity may recruit participation without determining whether the resulting care is fitting.

Adaptation functions

Adaptation loops change future models, references, structures, or response policies in light of consequence or possibility.

Evaluation Loop

Compares outcomes against intentions, references, standards, needs, or counterfactual alternatives.

Core question: What happened relative to what mattered?

Evaluation makes Value Loop comparison explicit and may feed learning, governance, accountability, certification, or selection.

Learning Loop

Converts experience into changed future response.

Core question: What should become different next time?

Revision Loop

Reopens an existing rule, model, commitment, interpretation, boundary, or design in light of new context.

Core question: What previously settled element should now change?

Revision is distinct from learning because a system may learn to operate within a rule while remaining unable to revise the rule itself.

Innovation Loop

Produces and tests novel configurations when inherited responses are insufficient or new possibilities become available.

Core question: What else might work?

Innovation requires variation, but viable innovation also requires boundaries around who bears experimental risk and how failed variants are released or repaired.

Continuity functions

Continuity loops determine what persists, propagates, transfers, inherits, exits, or decomposes across time.

Propagation Loop

Generates additional instances of a pattern, organism, practice, institution, message, or identity.

Core question: How does this pattern continue beyond its present instance?

Succession Loop

Transfers role, authority, knowledge, property, care, or responsibility from one holder to another.

Core question: Who or what carries this function next?

Inheritance Loop

Determines what a later participant receives from an earlier state without having originated or necessarily chosen it.

Core question: What crosses generations or state transitions?

Inheritance includes capacities and burdens: genes, wealth, language, debt, culture, precedent, trauma, infrastructure, environmental conditions, and unfinished obligations.

Identity Loop

Maintains enough continuity across changing context for an operator to recognize roles, commitments, boundaries, and actions as its own while remaining capable of revision.

Core question: What is being preserved as this operator changes?

Identity becomes a primary continuity function in role transition, development, therapy, ritual, professional formation, organizational restructuring, self-programming, and succession.

Temporal Loop

Maintains and revises relations among past state, present constraint, possible future, and time-sensitive commitment.

Core question: Which past remains operative, which future remains reachable, and when does delay alter the choice?

Release or Exit Loop

Ends, reduces, transfers, or dissolves participation, obligation, control, identity, or connection while returning or reallocating committed capacity.

Core question: How does this stop?

A system that can grant authority but cannot revoke it, create obligations but cannot settle them, or recruit care but cannot release the caregiver has incomplete continuity architecture.

Decomposition Loop

Breaks down a no-longer-viable form and returns, isolates, transforms, or disposes of its components and residues.

Core question: What happens when this form can no longer or should no longer persist?

Decomposition is necessary because systems that model creation and maintenance but not ending accumulate immortal obligations, toxic residues, unsupported identities, and obsolete authority.

4. Recurring patterns are not sibling functions

A recurring pattern describes how one or more functions are activated, coupled, distributed, or transformed. It is not necessarily a new top-level function.

Examples include:

• Compensatory: a participant supplies or activates a function perceived as missing.
• Invocation-gated: a capacity remains inactive until a recognized signal, petition, threshold, or credential enters through an admissible channel.
• Emergency-assumed: ordinary authorization is bypassed or provisionally expanded under time-sensitive threat.
• Residual: a function continues after its original need or authorization has changed.
• Captured: a loop’s channel, authority, or output is appropriated by another telos.
• Shadow: an unofficial loop operates alongside the formal account.
• Distributed: no single participant carries the complete function.
• Structurally recursive: a loop contains or participates in a comparable loop at another scale.
• Functionally recursive: a loop performs its function upon another loop of the same or related class, such as governance governing governance or evaluation evaluating an evaluation system.
• Model-recursive: an operator’s operative model contains a model of another model, including models of how other participants model the operator.
• Recursive Mutual Modeling: partially opaque operators update self-models, other-models, reflected models, and action policies through signals and shared consequence.
• Model-Elicitation: a model changes the field encountered by its object and helps produce conduct later treated as evidence for the originating model.
• Parallel simulation: several candidate loop trajectories remain live while evidence, value, and temporal conditions determine activation, blending, switching, or release.
• Game-model intervention: a signal or process changes the participants, roles, rules, options, payoffs, causal paths, identities, temporal horizon, or purposes through which an interaction is understood.
• Intra-agent compensatory: one virtualized process, identity configuration, model, or coalition perceives another necessary function as inadequate and assumes monitoring, constraint, substitution, or escalation through shared capacities.
• Topology cascade: a field or model change activates, suppresses, reroutes, or reconnects loops, channels, roles, authorities, and handoff paths.
• Inherited: a present participant carries a loop role or reference established by an earlier state.
• Ceremonial: visible loop activity preserves legitimacy or appearance while little operative transformation occurs.
• Adversarial: participants attempt to influence the same loop while modeling and counter-modeling one another’s actions.
• Institutionalized: a temporary or local pattern becomes a durable office, rule, channel, or expectation.

The same function may instantiate several patterns simultaneously. A court may be petition-gated, hierarchical, record-bound, recursive through appeal, and compensatory when it supplies representation or resolves a governance failure.

The Compensatory Governance pattern is not limited to lateral social behavior or missing hierarchy. It can be carried by a superior, subordinate, peer, institution, bodily process, telic process, or virtualized internal coalition. The gap need not be real. The pattern begins when a participant or modeled process treats a governance function as absent, insufficient, delayed, inaccessible, or illegible and begins to supply, supplement, activate, monitor, constrain, or substitute for it.

Model-transition family

Game-model change should remain a transition family rather than being expanded into many sibling loop functions. The present vocabulary includes:

• invitation: another frame is offered while inspection and refusal remain available;
• transition: the operative game changes without yet assigning cause or valence;
• rebase: retained evidence is reconstructed under a revised model;
• intervention: an event or participant causally contributes to the transition;
• injection: a signal acquires a role, provenance, salience, or authority it does not independently warrant;
• capture: meaningful inspection, alternatives, refusal, revision, or exit are suppressed;
• deception: the intervention depends upon materially misleading representation or concealment;
• liberation: previously hidden constraints, distinctions, identities, or options become available in a way that increases practical agency.

These may overlap and change over time. An invitation may become capture. A self-directed intervention may preserve future agency or narrow it. Governance evaluates the trajectory, standing, evidence surface, reversibility, and consequence rather than assigning valence from the fact of model change alone.

The Model-Elicitation pattern can be compressed as:

model of participant or loop
            ↓
treatment, permissions, constraints, and feedback
            ↓
experienced field and available conduct
            ↓
returned evidence
            ↓
revised model
            ↺

5. Composed systems

A composed system recruits several loop functions into a recurring architecture.

A court may combine:

• petition and signaling;
• bounded epistemic aperture;
• representation;
• sensemaking;
• plural Value Loops;
• adjudicative governance;
• allocation of standing and burden;
• lineage through precedent and record;
• actuation through orders;
• review through appeal;
• and closure through judgment, settlement, exhaustion, or release.

Diplomacy may combine:

• representation;
• boundary maintenance;
• signaling;
• trust;
• coordination;
• exchange;
• plural governance systems;
• negotiated Value Loops;
• memory of commitments;
• and release through withdrawal, rupture, or successor agreement.

A family may combine nearly every loop in the grammar while distributing roles through affection, duty, age, capacity, habit, law, proximity, and inherited expectation.

A market may combine attention, distributed valuation, signaling, trust, exchange, allocation, governance, inheritance, and waste export while representing only a subset of the values affected by its operation.

An immune system may sense, attend, compare, signal, protect, regulate, remember, learn, repair, and sometimes damage the organism by applying an inherited or amplified comparator to the wrong target.

A model of an organism may virtualize several telic processes—completion, thermoregulation, nourishment, rest, income, shame avoidance, identity continuity—while allowing them to share memory, attention, bodily state, time, and finite capacity. Governance then describes the temporary settlement among their claims, vetoes, projected futures, and switching thresholds. The model need not assert that these are literally separate inner agents. They are resolution-relative functional participants used when separation improves coherence or prediction.

The point is not to force each composed system into one label. The point is to identify which functions are primary, which are invoked, where they are gated, and who bears the result.

6. Participant roles

Roles are positions within a loop, not fixed identities of persons or institutions. One participant may hold several roles. One role may be distributed across many participants or technical layers.

The provisional role vocabulary includes:

Condition bearer

The participant, relation, or field in which the relevant condition exists.

Sensor

Detects a state or change without necessarily interpreting it.

Observer

Directs attention toward the condition.

Witness

Makes the occurrence attestable or consequentially present for another participant or later state.

Interpreter

Places the condition within a provisional model.

Model holder

Maintains the operative representation from which prediction or action proceeds.

Model subject

The participant, relation, field, process, identity, or game represented by the model.

Evidence-surface custodian

Controls which model-relevant signals become reachable, salient, sequenced, categorized, delayed, repeated, or absent.

Reflection source

Emits signals from which an operator constructs a model of how it is being modeled.

Rebase witness

Supplies evidence, testimony, measurement, credential, consequence, or provenance with enough standing to justify material revision of an operative model.

Valuer

Assesses significance relative to operative references.

Comparator custodian

Maintains, selects, conceals, or revises the reference against which conditions are judged.

Petitioner or presenter

Brings the condition into an actionable channel.

Channel custodian

Determines what may enter the loop, in which form, through which credential, and with what admissibility rules.

Representative

Carries another participant’s condition, interests, account, or probable preferences into the loop.

Authorizer

Grants, recognizes, claims, or withholds permission to act.

Selector or decision-maker

Chooses among available responses.

Executor or administrator

Performs the selected intervention.

Beneficiary

Receives an intended benefit.

Burden bearer

Absorbs cost, constraint, exposure, or risk, whether or not represented in the decision.

Auditor

Examines process, evidence, or consequence against declared or inferred standards.

Reviewer or reviser

May affirm, reverse, reinterpret, or update a prior state.

Maintainer

Sustains the capacity of the loop to continue operating.

Successor

Receives a role, reference, authority, or unresolved obligation later.

Affected participant

Experiences consequence and may consent, resist, adapt, appeal, withdraw, or remain unable to enter the loop.

The distinction between comparator custodian and decision-maker is especially important. A participant may appear to decide freely while another layer has already determined which values, options, evidence, or costs may count.

The distinction between channel custodian and witness is equally important. A system may contain excellent adjudicators but remain blind because only privileged actors can present a condition in an admissible form.

7. Trigger, attractor, capacity, authorization, inhibitor, and reinforcement

A complete instance description should not compress every cause of participation into “motivation.”

Trigger

The condition that activates or appears to activate the loop.

A trigger may be a threshold crossing, petition, anomaly, invitation, injury, opportunity, deadline, role transition, sensed absence, or anticipated future state.

Attractor

A force that recruits a participant into carrying or sustaining the function.

Attractors may include anxiety, loyalty, resentment, status, morality, trauma, competence, attachment, duty, love, identity, reciprocity, stewardship, proximity, necessity, fear of blame, control, curiosity, solidarity, and habit.

An attractor does not determine the moral quality of the instance. Love can recruit care, rescue, coercion, sacrifice, or release. Duty can sustain necessary continuity or preserve an obsolete command. Competence can protect a group or harden into unreviewable shadow authority.

Capacity

The practical ability to perform the function at the relevant time.

Capacity may include attention, information, skill, physical power, social standing, money, access, time, tools, health, institutional support, or the ability to tolerate uncertainty.

Authorization

The recognized, asserted, inherited, or emergency basis on which action is permitted, expected, legitimate, or defensible.

Authorization may arise from consent, office, law, custom, contract, relationship, delegation, necessity, or unilateral claim. Authorization and power are not the same.

Inhibitor

A condition that prevents, delays, limits, or terminates participation.

Inhibitors include refusal, fear, exhaustion, role boundary, insufficient evidence, lack of standing, uncertainty, trust in another participant, legal constraint, compassion, or competing obligation.

Reinforcement

A consequence that makes the loop more likely to recur or persist.

Reinforcement may include success, relief, praise, reduced anxiety, avoided blame, status, material reward, identity coherence, or the repeated failure of formal systems to assume the function.

These dimensions interact. The same trigger may recruit different participants because they experience different attractors. A strong attractor may produce no intervention where capacity is absent. A participant may have capacity and authorization but remain inhibited by uncertainty. A loop may persist after its trigger disappears because its reinforcement has become independent of the original need.

8. Instance dimensions

Every named loop instance should be describable along a shared set of dimensions. The dimensions do not replace context; they make comparison possible.

Primary function

What transformation is dominant in the present analysis?

Invoked functions and substrates

Which other loops supply attention, value, memory, signaling, trust, consent, repair, or learning?

Activation mode

Examples include:

• routine;
• periodic;
• event-triggered;
• threshold-triggered;
• petition-gated;
• compensatory;
• anticipatory;
• opportunistic;
• emergency-assumed;
• inherited;
• recursively invoked.

Epistemic aperture

How can a condition enter the loop?

Possible apertures include ambient observation, direct participation, petition, adversarial record, sensor, audit, self-report, delegated report, inherited record, credentialed testimony, statistical inference, or environmental residue.

No aperture is complete. A court sees what is placed into an admissible record. A sensor sees what it was designed to measure. A family may see distress but not its cause. An AI system may receive a compressed prompt while lacking the unspoken embodied field.

Evidence surface

What selected, ordered, categorized, weighted, and reachable set of signals is actually available for model construction?

Aperture asks what can enter. Evidence surface asks what is made available, salient, credible, repeated, delayed, grouped, or absent when the operative model is constructed. A dashboard may admit accurate data while arranging it around one hidden telos. A court may have a petition-gated aperture and an adversarial evidence surface. A model may have broad retrieval access while still misclassifying retrieved content by role or authority.

Operative model architecture

Which representations are active or latent? Relevant surfaces may include:

• world-model;
• self-model;
• other-models;
• reflected self-models;
• game-model;
• causal model;
• temporal model;
• telic field;
• interaction envelope;
• estimate of common knowledge.

The description should identify which surfaces are uncertain, contested, inherited, injected, or capable of rebase. Inside a game-model, the analyst may need to distinguish participants, roles, options, rules, permissions, payoffs, causal paths, salience, temporal horizon, common knowledge, self-model, reflected model, telic field, and interaction envelope.

Functional identity

What function does the loop or composed system believe it is performing, and how does that compare with other descriptions? Useful distinctions include:

• declared function;
• self-modeled function;
• externally ascribed function;
• reflected function: what the system believes others believe it is doing;
• captured function: the telos currently recruiting its machinery;
• latent function: what it enables without foregrounding;
• observed primary function: the transformation the analysis finds materially dominant.

These identities are causally active. A system that models itself as protector, service provider, neutral platform, embattled survivor, or mere executor will interpret the same signal and authority differently.

Recursion structure

Does the instance involve structural, functional, or model recursion? What recursion depth is materially active? What trust, protocol, role, deadline, or capacity limit truncates it?

Loop portfolio

Which candidate loop trajectories are active, latent, simulated, suspended, blended, fallback, suppressed, retired, or excluded? Which conditions change their relative viability?

Authority topology

Possible topologies include:

• self-governed;
• bilateral;
• lateral;
• hierarchical;
• delegated;
• federated;
• distributed;
• intersovereign;
• emergent;
• contested;
• concealed.

Participation basis

Participation may be voluntary, invited, assigned, inherited, compelled, unavoidable, opportunistic, or provisionally assumed under emergency.

Comparator structure

A comparator structure may be:

• singular or plural;
• explicit or hidden;
• fixed or revisable;
• local or inherited;
• negotiated or imposed;
• commensurable or conflicting;
• stable or rapidly changing;
• accessible or controlled by a specialist role.

Intervention mode

A loop may signal, recommend, invite, negotiate, authorize, constrain, prohibit, allocate, redirect, punish, repair, preserve, withdraw, document, or deliberately defer.

Temporal structure

An instance may be immediate or delayed, continuous or episodic, short-horizon or intergenerational, reversible or path-dependent, rapidly updating or institutionally slow.

Topology mutability

Can the instance add or remove channels, gates, intermediaries, vetoes, roles, authorities, pools, handoff paths, or coupled loops? What field or threshold changes trigger that reconfiguration?

Resolution contract

At what scale, timestep, observation level, prediction horizon, and internal-state granularity is the model being asserted? Which states are observed, inferred, stipulated, simulated, or unknown? Which lower-resolution mechanisms are deliberately omitted?

A resolution contract prevents a useful behavioral model from being mistaken for a complete ontology of the participant.

Observability

Who can see:

• the trigger;
• the aperture;
• the evidence;
• the comparator;
• the weighting;
• the decision;
• the intervention;
• the burden;
• the outcome;
• the revision;
• the release?

Reversibility

Can the decision, permission, burden, or state transition be undone? At what cost and for whom?

Influence radius

How many dependent permissions, expectations, roles, records, resources, identities, or shared states are affected when the loop changes?

Influence radius may be local, networked, institutional, cultural, ecological, or intergenerational. Large influence radius does not make a loop wrong, but it increases the significance of update, revocation, repair, and lineage.

Burden distribution

Who supplies attention, labor, uncertainty tolerance, risk, maintenance, repair, and future cleanup?

Closure mode

Possible closure modes include satisfaction, handoff, compliance, settlement, withdrawal, exhaustion, appeal, institutionalization, release, decomposition, or false closure.

9. What counts as loop closure?

“Closure” is overloaded. A grammar of loops should state which kind of closure is meant.

Feedback closure

Consequence returns to alter a future state of the system.

This is the minimal cybernetic sense. A process may continue indefinitely while repeatedly closing feedback.

Interaction closure

An interaction produces a mutual or otherwise consequential state update among participants.

This sense is especially relevant to consent-gated exchanges and shared mutable state. The update need not be symmetrical.

Decisional closure

A question is treated as settled enough for action, even though consequence has not yet returned.

Decisional closure can be provisional, appealable, or falsely final.

Administrative closure

A case, ticket, account, obligation, or record is marked complete within an institution.

Administrative closure may occur while the affected condition remains unresolved.

Relational closure

Participants reach sufficient acknowledgment, settlement, release, or reorientation for the prior relation to stop organizing present action.

Consent-gated closure

A proposed interaction is permitted to alter shared state only after the relevant consent condition is satisfied.

Model closure

An operator incorporates an interpretation stable enough to organize action, even though the material field and alternative models remain incompletely known.

Mutual-model closure

Participants act as though enough recursively compatible understanding exists for coordination. Their models need not be identical; the action-relevant overlap is treated as sufficient.

Topology closure

A reconfiguration of channels, roles, permissions, authorities, or handoff paths becomes operative enough to constrain later action.

False model closure

One model is treated as uniquely settled even though material disagreement, model divergence, unrepresented standing, or reachable counter-models remain consequential.

False closure

The system stops processing the condition without resolving, transferring, repairing, or releasing it. Costs may be exported into a hidden sink or deferred to later participants.

The grammar should therefore avoid saying merely that a loop “closed.” It should specify what returned, what changed, who recognized completion, and which residues remained.

10. Composition operators

Named loops become systems through recurrent composition operators.

Invocation

One loop activates another.

Witness invokes Governance.

Gating

One loop determines whether another may activate or alter shared state.

Consent gates Exchange.

Modulation

One loop changes the threshold, intensity, gain, urgency, or confidence of another.

Trust reduces the verification burden of Coordination.

Nesting

A loop operates inside a larger loop.

A Value Loop operates within a Governance Loop.

Coupling

Two loops mutually alter one another.

Trust affects Exchange; repeated Exchange updates Trust.

Sequencing

The output of one loop becomes the input of another.

Attention → Witness → Sensemaking → Governance → Action → Evaluation → Learning.

Parallelization

Several loops process the same condition simultaneously.

Legal, moral, financial, relational, and ecological Value Loops evaluate the same proposal.

Modeling

One loop constructs or maintains an operative representation of another participant, loop, field, or possible future.

Elicitation

A model changes the field encountered by its subject, contributing to conduct or evidence later returned to the model.

Rebase

New evidence reorganizes retained information under a revised operative model rather than merely appending another fact.

Framing or envelope shift

A signal changes what kind of interaction participants believe they have entered: negotiation, emergency, ritual, joke, contract, lesson, evaluation, game, or command.

Identity recruitment

A loop activates or proposes a context-conditioned identity from which particular values, boundaries, or actions become more salient.

Exaptation

A capacity or loop stabilized for one function is recruited into another. Trust, narrative, identity, threat detection, ritual, or credentials may be repurposed for education, care, coordination, marketing, propaganda, or control.

Arbitration

A loop selects among conflicting loop outputs or comparator claims.

Governance arbitrates among safety, autonomy, cost, continuity, and legitimacy.

Substitution

One participant or loop supplies another’s missing or inaccessible function.

Compensatory Governance substitutes for absent or illegible governance.

Handoff

Responsibility, state, authority, evidence, or care passes between loop holders.

A real handoff requires uptake, not merely transmission.

Shadowing

An unofficial loop operates beside the formal one.

Shadowing can preserve continuity, evade accountability, or both.

Capture

One loop appropriates another’s channel, authority, comparator, or output for a different telos.

Status competition captures a safety-reporting process.

Institutionalization

A temporary or local loop becomes a durable office, rule, role, channel, or expectation.

Institutionalization can preserve hard-won capacity or fossilize emergency authority.

Suppression

One loop prevents another from receiving input, expressing output, or updating the field.

A Governance Loop suppresses refusal signals that would alter its Value Loop.

Amplification

One loop increases the visibility, urgency, or influence radius of another.

Branching

A Temporal or Modeling Loop creates multiple candidate trajectories from the same present condition.

Suspension

A loop remains available without presently controlling action.

Switching

Control moves from one active loop or game-model to another when evidence, threshold, capacity, or deadline conditions change.

Blending

Several loops contribute partially to one response without collapsing into one comparator.

Hedging

An action is selected to remain viable across several unresolved models or future trajectories.

Commitment

A system accepts path dependence or closes alternatives in order to stabilize action across time.

Reopening

New evidence or changed standing returns a previously closed model, decision, or permission state to active consideration.

Expiry

A loop, option, permission, or candidate trajectory ceases to remain viable because its temporal window closes.

Fallback

A latent loop or policy activates when the active trajectory fails, becomes unsafe, or crosses a threshold.

Topology change

A state or model transition adds, removes, reroutes, or reweights channels, roles, comparators, vetoes, authorities, or loop couplings.

Decomposition

A composed system ceases functioning as a coherent arrangement and its roles, resources, residues, and authorities disperse or are reassigned.

These operators form the grammar’s verbs. The loop-function names identify what transformations are present; the operators identify how they are related.

11. Flow topology

Loop function and flow topology should remain distinct.

A loop function describes what transformation is occurring. Flow topology describes where material, energy, attention, value, risk, authority, information, or burden moves and accumulates.

Useful topological positions include:

• source;
• channel;
• gate;
• pool;
• reservoir;
• buffer;
• threshold;
• sink;
• overflow;
• leakage;
• evaporation;
• condensation or re-entry;
• bottleneck;
• bypass;
• feedback return.

These positions are scale-relative. A court may be a sink for unresolved disputes, a channel for precedent, a pool of institutional authority, and a source of binding decisions. A caregiver may be a channel for resources, a buffer against instability, and a sink for costs the family does not otherwise represent.

The source–channel–pool–sink vocabulary becomes especially useful when a loop appears successful because it exports cost. Waste, burnout, deferred maintenance, suppressed refusal, environmental damage, and future debt may be the unmodeled sink through which apparent stability is purchased.

Field-to-topology cascades

A material or semantic change in one field may propagate through comparator-mediated couplings and alter the topology of several loops.

Consider a trust-field change. A broken promise, costly repair, credential, concealment, or visible acceptance of responsibility becomes available through a witness, sensor, record, or model. A Value Loop compares the observed change against expected reliability, tolerated vulnerability, and available repair. If the difference crosses a threshold, the cascade may alter:

• attention and monitoring;
• interpretive generosity or suspicion;
• recursive modeling depth;
• consent scope and permission state;
• direct or mediated channels;
• verification burden;
• delegation and discretion;
• governance mode;
• identity activation;
• handoff paths;
• and the activation of Compensatory Governance.

The result is not merely “less trust.” A peer relation may become supervised. A direct exchange may acquire an auditor. A dormant sentinel may activate. A decentralized process may centralize. A channel may become petition-gated. The new topology then changes what later evidence can enter and what later action is possible.

Field change can alter comparator outputs; comparator outputs can alter loop activation; loop activation can alter topology; topology then changes the evidence and action available to the next iteration.

12. Power, capacity, authority, legitimacy, and standing

These terms should remain separate.

Power

The ability to affect conditions or participants.

Capacity

The practical ability to perform a function at a given time.

Authority

A recognized or asserted right to decide, direct, constrain, authorize, or act.

Legitimacy

The degree to which affected participants or relevant systems recognize authority as properly constituted or exercised.

Standing

Recognition that a participant may validly enter, contest, invoke, or be represented within the loop.

A participant may possess power without authority, authority without capacity, capacity without legitimacy, legitimacy without sufficient power, or standing without effective access to the channel through which standing is exercised.

Compensatory loops frequently emerge from such mismatches. A participant with capacity but no authority acts because authorized actors are absent. An institution with authority but no epistemic access remains inert. A person with standing but no admissible language becomes functionally invisible. A powerful participant may manufacture legitimacy by controlling the witness and lineage loops through which consequence is remembered.

13. Cost, burden, benefit, waste, and externality

Every loop consumes capacity and redistributes consequence.

A full description asks:

• Who performs the sensing and noticing?
• Who pays the attention cost?
• Who carries uncertainty?
• Who maintains the channels and records?
• Who bears intervention risk?
• Who receives intended benefit?
• Who absorbs error?
• Who performs repair?
• Who becomes accountable?
• Which costs leave the visible loop?
• Which costs are inherited by later participants?
• What does the system treat as disposable?

Waste is not only unused material. It may include rework, informational overload, queueing, relational breakdown, burnout, unused output, unmaintained infrastructure, abandoned commitments, and the energy required to work around a refusal that the system would not receive.

A loop may meet its local reference while increasing waste elsewhere. A production system can optimize throughput while exhausting maintenance capacity. A governance system can produce compliance while increasing reactance, exit, or hidden resistance. A care system can preserve one participant while consuming the caregiver’s future viability.

The grammar therefore treats externality as a failure of aperture, value representation, or influence-radius accounting rather than a mysterious remainder outside the system.

14. Lifecycle and state transitions

Loops are not static behaviors. Their function, authorization, and valence can change while visible activity remains similar.

A generic lifecycle may include:

dormant
  ↓
sensitized
  ↓
triggered
  ↓
recruited
  ↓
interpreting and valuing
  ↓
authorized, inhibited, or contested
  ↓
acting or signaling
  ↓
receiving consequence
  ↓
adapting, handing off, persisting, or releasing
  ↺

Common transitions include:

• escalation;
• de-escalation;
• handoff;
• refusal;
• appeal;
• capture;
• drift;
• habituation;
• delegation;
• institutionalization;
• exhaustion;
• recurrence;
• release;
• decomposition.

A necessary Compensatory Governance Loop may become residual after formal governance returns. A temporary emergency authority may become routine. A consented care relationship may become coercive when exit becomes materially impossible. A protective boundary may become inherited exclusion after the original threat disappears.

Named variants may therefore describe lifecycle states rather than permanently distinct species.

Parallel simulation and loop portfolios

A model-capable participant may maintain a loop portfolio rather than one settled active interpretation. Candidate games, identities, teloi, or policies can be:

• dormant;
• monitoring;
• activated;
• simulating;
• bidding for shared capacity;
• governing;
• blended;
• inhibited;
• suspended;
• fallback;
• satisfied;
• expired;
• released;
• or suppressed.

The active response may be selected from one candidate, assembled from several, or deliberately hedged across unresolved models. Game-model intervention can operate by introducing a candidate, increasing its salience, changing its projected consequences, forcing premature commitment, altering a switching threshold, or suppressing alternatives until one future appears inevitable.

Polytelic governance

An organism or organization may carry multiple concurrent teloi with different time horizons, comparator structures, claims on shared capacity, and projected consequences. Completion, nourishment, thermoregulation, rest, income, belonging, duty, shame avoidance, and identity continuity need not be forced into one scalar utility.

Each telos may be modeled as a virtualized loop-bearing process that shares memory, attention, body or infrastructure state, time, and material pools with other telic processes. Governance then performs temporary arbitration, allocation, sequencing, inhibition, veto, handoff, or release.

The combinatorial space may be large without requiring fuzzy totalization. At a chosen resolution, the model need only expand materially active claims, approaching thresholds, shared capacities, relevant horizons, identity configurations, and likely topology changes. Other possibilities may remain latent.

Intra-agent compensatory governance

One process may conclude that another necessary function cannot be trusted to operate adequately and assume compensatory authority over shared capacity. A completion process may not trust future motivation. A shame-avoidance configuration may not trust ordinary attention. A bodily protection loop may not trust deliberation to respond before danger. An internalized authority may not trust the organism’s spontaneous conduct.

This can produce monitoring, restricted choice, forced attention, repeated checking, urgency escalation, internal punishment, refusal to hand back control, or outward peer governance. The same pattern may be necessary, mistaken, residual, captured, or institutionalized.

Self-injection is one path into this state. A present configuration can plant a phrase, commitment, environmental cue, public promise, selective memory, or imagined reflected appraisal into the evidence surface of a future configuration. The intervention may intelligently preserve a boundary or future intention. It may also grant one internal model disproportionate authority, suppress counter-models, or make bodily refusal appear to be sabotage.

When the same protective or identity-preserving expectation is applied to another participant, the internal Compensatory Governance pattern can cross the organism boundary as monitoring, correction, defense, peer governance, or escalation. Resistance may then become evidence that the external target required governance, creating a Model-Elicitation Loop.

15. Normative overlays and exemplars

The grammar preserves valence-neutral base classes while allowing explicit evaluative overlays.

Possible overlays include:

• consentful;
• resilient;
• efficient;
• equitable;
• just;
• safe;
• sustainable;
• accountable;
• coercive;
• extractive;
• brittle;
• opaque;
• captured;
• reparative;
• reversible.

An overlay must disclose its operative values. “Efficient” means little until the output, time horizon, excluded costs, and burden bearers are named. “Safe” may mean safe for one participant because risk has been shifted to another. “Consentful” should not become a decorative synonym for good.

A consentful exemplar may ask:

• Are affected participants legible?
• Can they understand the loop at a resolution appropriate to their capacity?
• Can they influence the comparator?
• Can they grant, narrow, refuse, suspend, or withdraw permission?
• Are refusal channels effective rather than ceremonial?
• Is intervention proportionate and reversible where possible?
• Are authority and standing bounded?
• Are burdens and benefits visible?
• Can the loop receive changed context?
• Can decisions be challenged or appealed?
• Can the loop release control?
• Is lineage preserved without making prior states permanently sovereign?

This is one designed path through the possibility space. The base grammar remains available to people and systems that choose other values.

16. Cross-scale recurrence and constraints

A candidate loop function should recur across scales without requiring its instances to be morally or phenomenologically identical.

Useful scales include:

• intracellular and physiological;
• organismic;
• intrapersonal;
• interpersonal;
• familial;
• organizational;
• institutional;
• civic and governmental;
• technical and protocol;
• ecological;
• intergenerational.

Cross-scale recurrence is established cautiously. The grammar asks whether the same transformation is present, not whether every feature of one instance maps onto another.

Consent deserves special constraint. Consent-like gating may be modeled in protocols, organisms, or synthetic systems where interactions are admitted, modulated, or refused. This does not imply that every gating system possesses subjective experience, moral agency, or human consent capacity. The formal comparison becomes ethically relevant only when the standing and capacities of actual affected participants are independently established.

The same caution applies to governance, care, trust, memory, and learning. Functional similarity supports analysis; it does not erase substrate difference.

Resolution-relative participants

A participant is whatever bounded process the model treats as capable of carrying a role, state, comparator, signal, or action at the chosen resolution. At one resolution the participant may be a person. At another it may be a telic process, bodily regulator, department, coalition, institution, software service, or temporary identity configuration.

This does not assert that every modeled participant is an independently conscious agent. It permits functional virtualization where separation improves explanatory or predictive coherence. The resolution contract must disclose what has been virtualized, which shared substrates remain common, and which claims are inferential.

17. Research interface and falsifiability

The grammar is conceptual, but it should expose measurable variables and possible falsification rather than retreat into language that fits every outcome.

Four companion preregistration drafts informed this research interface. They propose related but distinct empirical programs. Their hypotheses are not treated here as established findings.

Consent as a cross-substrate invariant

One preregistration models consent as an admissibility constraint on loop closure in multi-agent systems with shared mutable state. It proposes that consent updates require re-keying permissions, expectations, data, and roles, and that coordination cost scales with the influence radius of the update.

The proposed Revocation Cost Ratio compares the cost of a consent update against the median cost of routine interaction. This offers a direct research interface for the grammar’s dimensions of consent gating, reversibility, influence radius, and lineage.

The grammar adds questions the experiment may help operationalize:

• Which loop functions depend on the revoked state?
• Which roles or records preserve obsolete authorization?
• Is the coordination cost caused by consent itself, by poor localization, or by hidden coupling among dependent loops?
• Does reducing influence radius lower update cost without increasing violation persistence?

Waste as a lagging indicator of consent collapse

A second preregistration proposes that failures of local, time-bound, context-sensitive refusal precede measurable waste. Its Consent Collapse Index includes bypass, coercion, overwhelm, ambiguity, latency, and capture. Its Waste Index includes material, energetic, informational, coordination, and relational costs.

This program maps naturally onto the grammar’s account of false closure, suppressed signaling, hidden sinks, burden distribution, and externality. It permits the claim to fail: consent-collapse indicators may not precede waste, may add no predictive power, or may prove too domain-specific to support the proposed relation.

Consent as a stability property

A third preregistration proposes an umbrella review of autonomy support, psychological safety, procedural justice, and reactance as observable proxies for a latent consent-related stability property in living systems.

For the grammar, this is a possible bridge between consent as a relational loop and consent as an invoked stability condition. The proposed review does not claim that consent is sufficient for stability. It asks whether existing quantitative syntheses support treating consent-like constructs as a cross-domain predictor of wellbeing, learning, cooperation, legitimacy, and reduced reactance.

Explicit consent as a stability-enhancing state transition

A fourth preregistration proposes synthetic event streams in which an explicit consent flag changes allowed transitions or transition probabilities. The primary outcome is reduced predictive uncertainty, measured through entropy or surprisal relative to a baseline model. Persistence under perturbation is secondary, and witness or auditability context is exploratory.

This program provides a sharply bounded test of consent gating as a transition mechanic. It does not establish that every reduction in uncertainty is ethically desirable, that consent always reduces entropy, or that a synthetic flag captures human consent. It tests whether meaningful consent-gated transition structure changes measurable dynamics under controlled conditions.

Candidate measurable variables emerging from the grammar

The broader grammar suggests additional variables that may support future studies:

• epistemic aperture width;
• refusal-channel effectiveness;
• comparator visibility;
• comparator revision latency;
• number of affected roles;
• influence radius;
• handoff completion rate;
• residual authorization persistence;
• burden displacement;
• externalized maintenance cost;
• loop-capture frequency;
• false-closure rate;
• time from trigger to witness;
• time from consent withdrawal to effective state change;
• divergence between administrative and relational closure;
• value-conflict count or unresolved comparator plurality;
• lineage completeness;
• repair cost after delayed update;
• number and diversity of candidate models retained before commitment;
• switching threshold and time-to-switch after disconfirming evidence;
• model-recursion depth under different trust and threat conditions;
• evidence-surface concentration and counter-model reachability;
• number and type of topology changes following a field perturbation;
• degree of functional-identity divergence between declared, self-modeled, externally ascribed, and observed function;
• persistence of intra-agent compensatory control after the triggering condition changes;
• and predictive improvement gained by modeling plural teloi rather than one scalar objective.

The purpose of these variables is not to quantify everything prematurely. It is to keep the grammar connected to observations that could revise or reject its categories.

18. Pressure tests

A grammar should be tested against cases that expose its weaknesses rather than merely display its elegance.

Thermostat

A thermostat senses, compares, selects, and actuates. It invokes a narrow Value Loop through its setpoint and primarily performs Regulation.

It does not govern in the social-authority sense. It has no independent standing, does not negotiate the reference, and cannot represent the values excluded by the setpoint. The thermostat demonstrates why comparison is not identical to governance and why an encoded target is still a value-bearing reference within the larger designed system.

Court

A court is not simply a Governance Loop. It is a composed system with petition-gated activation, channel custody, bounded epistemic aperture, representation, adjudication, lineage, actuation, and review.

The court may be competent and authorized while remaining unable to see conditions that no participant can present in an admissible form. The failure may therefore sit in Representation, Signaling, Standing, Channel Custody, or Value rather than adjudication itself.

Diplomacy

Diplomacy operates where no participant necessarily possesses unilateral authority over the shared interface. It composes Representation, Boundary, Signaling, Trust, Coordination, Exchange, and plural Governance Loops.

It becomes compensatory when informal envoys, third parties, alliances, or backchannels carry a relationship that formal channels can no longer sustain.

Household sentinel

A participant notices conduct interpreted as impermissible, perceives responsible authority as inattentive, and supplies monitoring or correction. The instance reveals Compensatory Governance, but also Attention, Value, Protection, Signaling, Trust, and Release.

When authority visibly receives the condition and assumes responsibility, the sentinel may stand down. That transition may occur without explicit reasoning because the relevant signals alter the participant’s model of who is carrying the function.

Polytelic organism

A person wants to finish work while also experiencing heat, hunger, fatigue, financial pressure, anticipated shame, and concern for tomorrow’s capacity.

This tests virtualized telic processes, shared substrates, plural comparators, temporal horizons, veto thresholds, loop portfolios, identity recruitment, and governance without a sovereign homunculus.

Internal hypergame

One context-conditioned identity models future self as lazy, bodily refusal as sabotage, or ordinary rest as moral failure. Repetition and reflected appraisal give the model increased authority, which then recruits compensatory monitoring and suppresses alternative loop simulations.

This tests self-directed game-model intervention, intra-agent Compensatory Governance, evidence-surface control, self-elicitation, topology change, and release.

Recursive Mutual Modeling pair

Two participants each model the other, each models how the other sees them, and each acts partly to influence those models. A trust-field perturbation changes recursion depth, verification, identity activation, and channel structure.

This tests model recursion, reflected identity, finite trust, model closure, and field-to-topology cascade.

Organizational incident response

An anomaly enters through sensors or reports. Thresholds invoke attention. Triage values significance. Delegated emergency authority permits containment. Witness and lineage preserve evidence. Handoff returns systems to operational owners. Evaluation and Learning revise controls.

Incident response is useful for studying activation gates, escalation, influence radius, provisional authority, and post-event release.

Caregiving relation

Need recruits attention, love, duty, proximity, identity, and competence. Care may be consented, unavoidable, asymmetrical, or complicated by diminished capacity.

The pressure test concerns whose comparator governs, whether the caregiver can be released, how the cared-for participant remains represented, and whether the system exports maintenance costs into an invisible person.

Market exchange

Prices signal one value dimension while omitting others. Exchange and Allocation operate through distributed action. Trust, Governance, Lineage, and enforcement support the market’s apparent spontaneity. Waste and externality may accumulate where participants lack standing or where future consequences remain outside the comparator.

The market demonstrates that distributed valuation is neither value-neutral nor reducible to one central decider.

19. Classification discipline

Before naming a new base loop, ask:

1. What state or relation exists before the loop operates?
2. What transformation does it perform?
3. What state or relation exists afterward?
4. What consequence returns to future iterations?
5. Can the transformation recur across several scales without relying only on metaphor?
6. Is the candidate actually a role, trigger, attractor, topology, activation mode, property, or normative judgment?
7. Can it be invoked as a component of another loop?
8. Can it become the primary function of an instance?
9. What would count as evidence that this is not a distinct function?
10. Which existing category would absorb it if the distinction failed?

These questions should reduce category inflation while preserving discovery.

20. Failure modes of the grammar

The grammar itself can become ungainly.

Noun inflation

Every interesting concept becomes a named Loop, producing a catalog that merely restates ordinary language with cybernetic decoration.

Normative smuggling

A morally preferred outcome is encoded into the base definition, making disfavored instances appear to belong to another class.

Scale collapse

Formal similarity is used to erase differences in consciousness, standing, embodiment, power, or consequence.

Function-role confusion

A participant role such as witness, representative, or judge is mistaken for the entire function performed by the composed system.

Static capture

A loop is classified from one moment while its lifecycle, history, and transitions remain invisible.

Comparator blindness

The analysis describes feedback while leaving the reference, value weighting, and comparator custodian unnamed.

Aperture blindness

The analysis treats missing evidence as absence of a condition rather than a limitation of the channel.

Outcome bias

A beneficial result is used to retroactively authorize the loop, or a harmful result is used to deny that the underlying function was real.

Anthropomorphic excess

A functional analogy is treated as evidence of intention, consciousness, desire, or consent capacity.

Mechanistic reduction

Human meaning, history, embodiment, and power are treated as noise around a supposedly complete formal loop.

Totalizing grammar

The framework becomes a demand that every phenomenon be translated into its categories before it may count as real.

The grammar should remain a tool for increasing legibility, not a replacement for the field it describes.

Model singularity

The analyst assumes one operative model where the participant may be maintaining several candidates, identities, or horizons at once.

Virtual-agent reification

A useful decomposition of telic or regulatory processes is mistaken for proof that the organism literally contains independent miniature persons.

Topology blindness

The model tracks state changes inside loops while ignoring that channels, roles, vetoes, authority, and loop couplings have changed.

Simulation explosion

Every possible telos, model, and trajectory is expanded despite having no material effect at the declared resolution. The result is complexity without improved prediction or inspectability.

Fuzzy compression

Large, intuitively appealing concepts are added without executable distinctions among state, comparator, aperture, action, feedback, temporal rule, and uncertainty. Such chunks should remain provisional rather than being granted mature-model status.

21. Candidate composites rather than base loops

Several important concepts presently appear more coherent as compositions.

Accountability

Likely composes Witness, Lineage, Evaluation, Governance, Consequence, and Revision.

Legitimacy

May be a Trust Loop directed toward Governance, informed by Value, Representation, Consent, and witnessed consequence.

Justice

May compose Value, Governance, Representation, Allocation, Repair, and Revision under declared normative commitments.

Diplomacy

Composes Representation, Boundary, Signaling, Trust, Coordination, Exchange, and plural Governance.

Security

Composes Attention, Value, Boundary, Protection, Governance, Witness, Repair, and Learning.

Commitment

Carries a present decision into future states through Memory, Consent, Governance, self-binding, and Release conditions.

Responsibility

Relates role, capacity, knowledge, authority, control, consequence, and expected response. It may be better modeled as a field of attributable relation than as one loop.

Recursive Mutual Modeling

Likely a composed relational substrate joining Modeling, Identity, Signaling, Trust, Memory, Value, and shared material consequence. It may deserve a dedicated Loop Function Record without becoming universal to non-modeling systems.

Functional Identity

Likely an Identity-Modeling composition that maintains a system’s operative account of what function it is performing, for whom, under what authority, and according to which evidence of success. Declared function, self-modeled function, externally ascribed function, reflected function, captured function, and observed primary function may diverge.

Game-model intervention

Better treated as a transition family and recurring composition pattern than a sibling base function. Invitation, transition, rebase, intervention, injection, capture, deception, and liberation describe different paths by which the operative game changes.

These classifications remain provisional. A concept may later prove to perform an irreducible transformation of its own.

22. Open questions

Is Signaling a primitive, substrate, or function?

It may validly appear at all three resolutions. The grammar needs rules for multi-resolution identity without forcing a single permanent classification.

Is Representation a base function or a role composition?

Representation clearly performs a transformation, but it may require Witness, Translation, Value, and Signaling so consistently that its independence remains uncertain.

Is Translation a loop function?

Translation converts meaning across semantic systems while attempting to preserve selected invariants. Its relevance to Field Pragmatics and Semantic Integrity suggests it may deserve a full record.

Is Consent primarily a loop, gate, state, or property?

The present answer is resolution-dependent. Future work should state the level explicitly rather than choosing one use as canonical for every context.

How do absent participants enter?

Future persons, ecosystems, nonhuman beings, deceased persons, unknown affected parties, and participants who cannot use the accepted channel may require representation, stewardship, or deliberately widened aperture.

How do plural Value Loops avoid forced commensuration?

Some values cannot be responsibly reduced to one score. The grammar needs better treatment of vetoes, sacred values, incommensurability, and negotiated partial order.

What makes a handoff real?

Transmission is not uptake. A handoff may require acknowledgment, capacity, authority, shared interpretation, resource transfer, and a legible release of the prior holder.

How should uncertainty be represented?

A loop may act under uncertain trigger, uncertain comparator, uncertain authority, uncertain consequence, or uncertainty about another participant’s model. These should not collapse into one confidence score.

Can a loop consent to its own revision?

Self-modifying systems complicate the distinction among current preference, future preference, inherited constraint, and the standing of earlier states.

What is the relation between positive and negative loops?

The current grammar describes function without yet integrating the existing distinction between positive self-amplifying loops, negative modulating loops, theoretical loops, and the symbolic use of loop glyphs.

What is irreducibly embodied?

Formal models can represent state, boundary, signal, and cost while missing pain, fatigue, vulnerability, mortality, and lived stakes. The grammar should not treat those omissions as solved merely because they are named.

Is Identity a substrate, function, topology, or all three?

The present draft treats the Identity Loop as a substrate that can become primary, while Fractal Identity describes its multiscale topology. This distinction needs pressure-testing.

Is the Temporal Loop irreducible?

Memory, prediction, planning, and lifecycle all involve time, but the management of windows, latency, commitment, branching, switching, expiry, and path dependence may justify a separate substrate.

What is the minimum representation of model plurality?

A useful language must permit several candidate models without requiring a full probability distribution or infinite simulation.

How should topology change be represented?

State transition alone is insufficient when a field perturbation changes channels, authority, vetoes, identity, or loop coupling.

When does internal compensation become outward governance?

A model should be able to trace how self-protective or identity-preserving control moves across the organism boundary into monitoring, correction, defense, or escalation toward peers.

23. Theory-porting interface

The grammar should be capable of representing theories it does not originate and claims it does not yet endorse. It should not silently correct, absorb, or replace them. A fair translation preserves the source theory’s entities, distinctions, causal claims, temporal assumptions, and evidentiary limits before asking whether loop vocabulary adds resolution.

A theory-porting pass asks:

1. What fields or distributed conditions does the theory posit?
2. What entities or operators participate?
3. What states, distinctions, or variables matter?
4. What comparators, thresholds, or reference conditions drive change?
5. What loops update those states?
6. How are those loops coupled?
7. What topology is assumed, and can it change?
8. What temporal horizons, latencies, or path dependencies matter?
9. What observations would distinguish the proposed mechanism from an alternative?
10. Which claims cannot yet be translated without distortion?

The purpose is not to declare that attachment theory, predictive processing, institutional theory, game theory, or social identity theory are secretly the same theory. It is to create a common representational surface on which their mechanisms can be compared without erasing their original commitments.

24. Computational direction without premature language design

This grammar is not itself the scripting language. It is intended to become one of that language’s conceptual building blocks.

A future executable model should be able to describe observed or expected behavior at an explicit resolution in biological, technical, social, or institutional agents. It should distinguish observed, inferred, stipulated, simulated, and unknown state; permit shared substrate loops; virtualize telic or functional processes when useful; represent plural comparators and candidate models; and generate an inspectable trace of activation, action, feedback, topology change, and revision.

The grammar therefore makes a computational commitment without specifying final syntax:

A conforming model should declare its resolution, participants, fields, operative models, states, comparators, capacities, temporal rules, loop couplings, topology, uncertainty, and conditions for update or release.

Complexity may be managed through bounded resolution, shared substrates, lazy activation, depth-limited simulation, dormant or latent processes, top-k candidate expansion, and explicit omission. The objective is not minimal complexity. It is model coherence: every included concept should produce distinctions that can alter interpretation, prediction, simulation, or falsification.

25. Machine-readable grammar record

The following schema is provisional. Its purpose is to preserve distinctions and make later comparison possible, not to require that every field be populated for every instance.

loop_grammar:
  id: loop-function-grammar
  version: 0.2.0
  status: candidate

  analytic_surfaces:
    - field
    - loop
    - operative_model
    - topology

  descriptive_levels:
    - primitive_operation
    - substrate_loop
    - functional_loop
    - recurring_pattern
    - composed_system
    - normative_overlay

  primitive_operations:
    - sensing
    - attending
    - comparing
    - valuing
    - interpreting
    - modeling
    - projecting
    - selecting
    - signaling
    - actuating
    - retaining
    - updating
    - releasing

  substrate_loops:
    - attention
    - value
    - memory_lineage
    - signaling
    - learning
    - modeling
    - identity
    - temporal

  functional_fields:
    orientation:
      - attention
      - witness
      - sensemaking
      - modeling
      - inquiry
      - memory_lineage
    relation:
      - boundary
      - consent
      - trust
      - coordination
      - exchange
      - representation_candidate
    direction:
      - value_valuation
      - governance
      - prioritization
      - allocation
      - planning
    operation:
      - transformation_production
      - regulation
      - maintenance
      - repair
      - protection
      - care
    adaptation:
      - evaluation
      - learning
      - revision
      - innovation
    continuity:
      - propagation
      - succession
      - inheritance
      - identity
      - temporal
      - release_exit
      - decomposition

loop_record:
  record:
    id:
    name:
    version:
    status:
    definition:
    provenance:

  resolution:
    subject:
    scale:
    timestep:
    observation_level:
    prediction_horizon:
    modeled_state: []
    omitted_state: []
    state_status_legend:
      - observed
      - inferred
      - stipulated
      - simulated
      - unknown

  classification:
    descriptive_level:
    functional_field:
    primary_function:
    substrate_loops: []
    invoked_functions: []
    recurring_patterns: []
    normative_overlays: []

  transformation:
    prior_state:
    operation:
    resulting_state:
    feedback_return:
    closure_type:

  fields:
    relevant_fields: []
    sensed_changes: []
    field_custodians: []
    field_conflicts: []

  operative_models:
    world_model:
    self_model:
    other_models: []
    reflected_models: []
    game_models: []
    causal_models: []
    temporal_models: []
    telic_field: []
    interaction_envelope:
    common_knowledge_estimate:
    model_surfaces_active: []
    model_surfaces_contested: []
    model_divergence:
    recursion_type: []
    recursion_depth:
    evidence_surface: []
    evidence_surface_custodians: []
    rebase_signals: []
    counter_models_available: []

  operative_identity:
    context_conditioned_roles: []
    self_ascribed_function:
    externally_ascribed_functions: []
    reflected_function:
    observed_primary_function:
    continuity_invariants: []
    identity_conflicts: []
    identity_recruitment_paths: []

  loop_portfolio:
    active: []
    latent: []
    simulated: []
    blended: []
    suspended: []
    fallback: []
    suppressed: []
    retired: []
    switching_conditions: []
    commitment_conditions: []
    reopening_conditions: []
    expiry_conditions: []

  activation:
    triggers: []
    activation_modes: []
    thresholds: []
    inhibitors: []
    reinforcements: []

  participation:
    participants: []
    virtualized_participants: []
    shared_substrates: []
    roles: []
    attractors: []
    capacities: []
    authorization:
    standing:
    affected_participants: []

  value:
    references: []
    comparator_structure:
    comparator_custodians: []
    measured_conditions: []
    omitted_conditions: []
    value_conflicts: []
    revision_authority: []

  structure:
    epistemic_aperture: []
    channel_custodians: []
    authority_topology:
    topology_mutability:
    participation_basis:
    flow_topology: []
    temporal_horizon:
    observability:
    influence_radius:

  action:
    intervention_modes: []
    reversibility:
    burden_distribution: []
    benefits: []
    externalities: []

  lifecycle:
    current_state:
    possible_transitions: []
    handoff_conditions: []
    closure_modes: []
    release_conditions: []
    residual_states: []

  composition:
    invokes: []
    invoked_by: []
    gated_by: []
    gates: []
    modulates: []
    coupled_with: []
    models: []
    modeled_by: []
    elicits: []
    elicited_by: []
    rebases: []
    rebased_by: []
    frames: []
    recruits_identity: []
    exapts: []
    substitutes_for: []
    may_capture: []
    may_be_captured_by: []
    topology_changes: []

  evaluation:
    evidence: []
    uncertainties: []
    falsification_conditions: []
    ungainly_cousins: []
    open_questions: []

  lineage:
    origin_context:
    contributors: []
    source_records: []
    revision_history: []

26. Candidate canonical compression

A loop-function grammar distinguishes the operations from which recursive processes are composed, the substrate loops that maintain recurrent capacities, the functional loops that transform system states and relations, the patterns by which those functions are activated or distributed, the composed systems that recruit many loops at once, and the normative overlays through which particular communities evaluate them.

And, more compactly:

Primitives perform operations. Substrate loops maintain capacities. Functional loops transform states or relations. Patterns describe recurring configurations. Composed systems recruit many loops. Normative exemplars disclose chosen paths through the space.

The Value Loop supplies a recurring hinge:

Difference becomes actionable only when some system treats it as mattering.

The grammar’s task is not to decide once and for all what should matter. It is to make legible how references are formed, who may revise them, which differences enter the comparator, how action follows, where consequence returns, and what the loop cannot yet see.

Version 0.2.0 adds a second compression:

Fields distribute conditions. Models make selected conditions actionable. Temporal and Value Loops compare possible trajectories. Governance allocates authority and shared capacity among competing claims. Topology determines which loops can affect one another, and consequence can change the topology itself.

And for model-capable operators:

Behavior may be the enacted settlement among several context-conditioned identities, teloi, and candidate games rather than the expression of one coherent preference or one settled model.

Revision notes

0.2.0 — August 3, 2026

• Added fields, loops, operative models, and topology as distinct analytic surfaces.
• Added Modeling and Projecting as primitive operations.
• Added Modeling, Identity, and Temporal Loops as cross-cutting substrates that may become primary functions.
• Defined Fractal Identity as the multiscale topology of context-conditioned Identity Loops.
• Added structural, functional, and model recursion; Recursive Mutual Modeling; Model-Elicitation; parallel simulation; game-model intervention; intra-agent compensatory governance; and topology cascades as recurring patterns.
• Generalized the Compensatory Governance pattern across hierarchy, institutions, bodily regulation, telic processes, identity configurations, and outward peer governance.
• Added evidence surfaces, operative model architecture, recursion structure, loop portfolios, topology mutability, and resolution contracts to instance description.
• Added model, mutual-model, topology, and false-model closure.
• Added composition operators for modeling, elicitation, rebase, framing, identity recruitment, exaptation, branching, suspension, switching, blending, hedging, commitment, reopening, expiry, fallback, and topology change.
• Added field-to-topology cascade analysis, including trust-field perturbations that alter apertures, permissions, verification, recursion depth, governance mode, identity activation, and channel structure.
• Added polytelic governance, virtualized telic processes, shared substrate loops, and bounded parallel loop simulation without asserting a sovereign inner homunculus or literal miniature agents.
• Added intra-agent Compensatory Governance as a path from internal self-regulation to outward monitoring, defense, peer governance, or escalation.
• Added theory-porting and computational-direction sections so the grammar can represent other theories fairly and support a future scripting language without prematurely specifying syntax.
• Expanded pressure tests, failure modes, open questions, research variables, and the machine-readable schema.

0.1.0 — August 3, 2026

• Established the provisional resolution stack: primitive operations, substrate loops, functional loops, recurring patterns, composed systems, and normative overlays.
• Defined the Value Loop as a cross-cutting substrate that may also become a primary Valuation Loop.
• Sketched six navigational functional fields: Orientation, Relation, Direction, Operation, Adaptation, and Continuity.
• Separated triggers, attractors, capacities, authorization, inhibitors, and reinforcement.
• Added participant roles including comparator custodian and channel custodian.
• Added common instance dimensions including epistemic aperture, authority topology, comparator structure, influence radius, observability, burden distribution, and closure mode.
• Distinguished feedback, interaction, decisional, administrative, relational, consent-gated, and false closure.
• Added composition operators for invocation, gating, modulation, nesting, coupling, sequencing, arbitration, substitution, handoff, capture, institutionalization, suppression, amplification, and decomposition.
• Connected loop function to source–channel–pool–sink flow topology without collapsing the two grammars.
• Added a research interface grounded in four companion preregistration drafts concerning consent, stability, influence radius, revocation cost, waste, entropy, and perturbation.
• Added pressure tests, classification constraints, grammar failure modes, candidate composites, open questions, and a machine-readable schema.