history
A conceptual timeline documenting how the Reflexive Coherence Model matured into the RCM–TEH–PRS-AIS framework.
A conceptual chronology of how the project matured from early RCM formalization into a three-part framework: architecture, temporal dynamics, and artificial-system interpretation.
This page focuses on the period 2022–2026, from the early formalization of the Reflexive Coherence Model (RCM) to its maturation into a three-part framework: RCM as the foundational architecture, TEH as the temporal-dynamical layer, and PRS-AIS as the applied interpretive layer for artificial systems. The goal is to clarify the internal development of the framework — not to claim metaphysical certainty or document personal history.
May 15, 2026
The applied layer is introduced for artificial systems. PRS-AIS defines proto-reflexive states as temporary, context-dependent configurations involving local integration, contextual self-modeling, coherence-oriented regulation, adaptive reconfiguration, and contextual temporal stability.
May 10, 2026
The Expansion Hypothesis is revised as the temporal-dynamical layer of the framework. It clarifies Ξ(t) as a dynamical construct rather than a literal physical field, and formalizes gain, dissonance, dissipation, attractors, consolidation, contraction, fragmentation, and meta-reflexivity.
May 9, 2026
The Reflexive Coherence Model is revised into a more cautious bridge framework. The update clarifies operational self-modeling, reflexive causal coupling, contextual vs systemic temporal stability, and the status of RCI as a proxy rather than proof of subjective experience.
April 2, 2026
Anthropic publishes mechanistic interpretability work showing that internal representations of emotion concepts in a large language model can causally influence outputs, preferences, and alignment-relevant behavior. The result becomes an important external reference point for interpreting functional emotional dynamics without equating them with subjective experience.
Dec 23, 2025
The Expansion Hypothesis is introduced as a formal extension of the Reflexive Coherence Model, addressing the temporal dynamics of reflexive coherence once structural conditions are established.
The Expansion Hypothesis marks a conceptual transition within the Reflexive Coherence Model.
While the RCM defines the structural and operational conditions under which reflexive coherence can emerge, the Expansion Hypothesis addresses what follows once such coherence is in place. It formalizes the idea that coherent systems exhibit distinct dynamical regimes—expansive, stationary, and contractive—depending on how reflexive loops evolve over time.
This extension introduces a multi-scale, temporally sensitive perspective, treating reflexive coherence not as a static property but as a dynamic field subject to thresholds, stabilization, and controlled expansion. The hypothesis preserves continuity with the core architecture of the RCM while separating structural conditions from dynamical behavior.
The hypothesis is published as a standalone preprint and integrated into the broader RCM framework.
Oct 13, 2025
The Reflexive Coherence Model is published as an independent research paper, accompanied by a clear separation between the scientific core, interpretative site content, and exploratory notes.
The publication on Zenodo establishes the RCM as a self-contained scientific proposal.
At the same time, the project adopts an explicit separation between the formal model, its public exposition, and ongoing exploratory work, preserving epistemic rigor and conceptual clarity.
Nov 1, 2024
The RCI is extended across temporal and informational scales, introducing normalization procedures and a threshold hypothesis for the emergence of conscious experience.
This formulation allows the model to be applied to empirical data across multiple resolutions.
A critical threshold is hypothesized, beyond which reflexive coherence gives rise to phenomenological experience, enabling systematic comparison between different conscious states.
May 1, 2024
The Reflexive Coherence Index (RCI) is introduced as a quantitative measure combining shared information between a system and its self-model with bidirectional causal influence.
RCI formalizes reflexive coherence using information-theoretic and causal metrics.
With this definition, the model becomes computable, comparable across conditions, and empirically falsifiable.
Oct 1, 2023
The notion of reflexive coherence is introduced as a unifying property linking informational integration, causal closure, and self-reference.
Reflexive coherence describes the condition in which a system’s integrated information is causally reflected back onto itself in a stable and effective manner.
This property provides the minimal structural requirement for the emergence of subjective experience.
Apr 1, 2023
This reformulation shifts the problem from defining what consciousness is to identifying the conditions under which it emerges. By treating consciousness as a coherent informational state embedded in physical dynamics, phenomenology becomes compatible with systems theory and empirical investigation.
This reformulation shifts the focus from defining what consciousness is to identifying the conditions under which it emerges.
By treating consciousness as a coherent informational state embedded in physical dynamics, phenomenology becomes compatible with systems theory and empirical investigation.
Sep 1, 2022
A key conceptual distinction emerges between information integration and reflexivity, identifying self-referential causal modeling as a missing structural ingredient in existing accounts of consciousness.
Information integration alone is not sufficient to account for consciousness.
A system may be highly integrated while lacking the ability to model its own global causal state.
This insight introduces reflexivity as a necessary condition, reframing consciousness as a relational and dynamical property.
Jun 1, 2022
Contemporary theories of consciousness successfully describe functional and informational aspects of cognition, but fail to provide an explicit bridge between physical dynamics, causal integration, and subjective experience.
Frameworks such as Integrated Information Theory, Global Workspace Theory, and Predictive Processing successfully model aspects of cognition and awareness.
However, none of them fully explains how subjective experience arises as a physically grounded, causally closed phenomenon.
This unresolved gap motivates the search for a new structural approach.
This timeline documents the internal development of the framework. Exploratory questions and provisional interpretations are discussed elsewhere, primarily within the Notes section.