Distinguishing Decision Commitment from Changes in Available Futures in Generative Relational Models

A decision can settle a person's practical stance while the person's modeled opportunities remain unchanged. Conversely, an external disturbance can change available futures without constituting a decision. This paper examines those two possibilities within a generative relational account of social dynamics. It distinguishes perceived alternatives, feasible continuations, permitted continuations, commitments, judgments, and implementation. A typed grounding relation connects descriptions of alternatives to a shared carrier of possible traces. Commitment operations include adoption, reaffirmation, refusal, deferral, revision, and revocation, with explicit scope conditions for their representation. Set-theoretic consequences establish how commitment constraints behave when the feasible and permitted background is fixed. Countermodels establish that a change in an opportunity projection is neither necessary nor sufficient for a separately warranted decision episode. A further result identifies what endpoint-only records lose when deliberate reaffirmation and passive continuation share the same projected state. Analysis through six descriptive categories locates agents, capacities, authority relations, practical states, settlement events, and deliberative processes without undertaking an ontological classification of their ultimate nature. Worked episodes and adversarial cases test the treatment of habit, coercion, collective decisions, changing interpretations, and machine outputs. The resulting framework supports disciplined modeling and evidence-sensitive attribution while leaving a general theory of agency and empirical validation open.

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Publication Details

Journal
Knowledge Commons (Lakehead University)
Published
2026-09-13
DOI
https://doi.org/10.17613/qy386-hb095
Primary Topic
Critical Realism in Sociology
Type
article
Field-Weighted Citation Impact
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article

Distinguishing Decision Commitment from Changes in Available Futures in Generative Relational Models

Wanhong HUANG
Knowledge Commons (Lakehead University)
Critical Realism in Sociology
article

Distinguishing Decision Commitment from Changes in Available Futures in Generative Relational Models

Wanhong HUANG
article en

Abstract

A decision can settle a person's practical stance while the person's modeled opportunities remain unchanged. Conversely, an external disturbance can change available futures without constituting a decision. This paper examines those two possibilities within a generative relational account of social dynamics. It distinguishes perceived alternatives, feasible continuations, permitted continuations, commitments, judgments, and implementation. A typed grounding relation connects descriptions of alternatives to a shared carrier of possible traces. Commitment operations include adoption, reaffirmation, refusal, deferral, revision, and revocation, with explicit scope conditions for their representation. Set-theoretic consequences establish how commitment constraints behave when the feasible and permitted background is fixed. Countermodels establish that a change in an opportunity projection is neither necessary nor sufficient for a separately warranted decision episode. A further result identifies what endpoint-only records lose when deliberate reaffirmation and passive continuation share the same projected state. Analysis through six descriptive categories locates agents, capacities, authority relations, practical states, settlement events, and deliberative processes without undertaking an ontological classification of their ultimate nature. Worked episodes and adversarial cases test the treatment of habit, coercion, collective decisions, changing interpretations, and machine outputs. The resulting framework supports disciplined modeling and evidence-sensitive attribution while leaving a general theory of agency and empirical validation open.

Knowledge Commons (Lakehead University)
Creative Commons (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Critical Realism in Sociology
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