A Dynamic Systems Framework for Cognitive–Affective Interaction with Awareness Modulation (L–E–A Model)
Open MIND February 14, 2026 DOI: 10.5281/zenodo.18640004 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractThis technical report proposes a hypothesis-grade framework that models the interaction of rational cognition, affective-emotional dynamics, and awareness modulation as a unified dynamical system. Grounded in affective and cognitive neuroscience, particularly prefrontal–limbic circuit interactions, the framework formalizes these dynamics through coupled differential equations. Awareness is operationalized in functional and measurable terms, without ontological claims about phenomenal consciousness. Physics-based analogies, including quantum probability and dynamical systems theory, are used only as structural isomorphisms, not physical identities. The framework rejects claims of neural quantum coherence and maintains a classical neuroscientific foundation. Each claim is assigned an epistemic gravity rating (0–1 scale). The report presents a structured hypothesis with model characteristics, not a finalized theory of consciousness.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Interpretability Operationalization Dynamical systems theory Metacognition Stability learning theory |
| Key finding | Proposes that rational cognition, affective-emotional dynamics, and awareness modulation can be modeled as a unified dynamical system using coupled differential equations, grounded in prefrontal–limbic circuit interactions, without claims about phenomenal consciousness or neural quantum coherence. |
Abstract
This technical report proposes a hypothesis-grade framework modeling the interaction between rational cognition (L), affective-emotional dynamics (E), and awareness modulation (A) within a unified dynamic systems structure. The framework is grounded in established affective and cognitive neuroscience, particularly prefrontal–limbic circuit interactions, and formalizes these dynamics through a system of coupled differential equations. Awareness (A) is operationalized strictly in functional and measurable terms (e.g., connectivity, metacognitive calibration, behavioral modulation), without ontological claims regarding phenomenal consciousness. Physics-based analogies (including quantum probability and dynamical systems theory) are employed exclusively at the level of structural isomorphism, not physical identity. The framework explicitly rejects claims of neural quantum coherence and maintains a classical neuroscientific foundation. Each major claim is assigned an epistemic gravity rating (0–1 scale), distinguishing empirically supported components from interpretive and speculative layers. The report includes: Neural circuit architecture and measurable correlates Mathematical formalization of L–E–A dynamics Stability analysis and attractor modeling Predictive behavioral and neural hypotheses Clinical and applied extensions Explicit stress-testing and counterarguments Epistemic status: structured hypothesis with model characteristics (overall 0.4–0.6). Primary purpose: conceptual integration, prediction generation, and research organization. Not presented as a finalized theory of consciousness. Keywords cognitive-affective interaction dual-circuit model awareness modulation dynamical systems neuroscience prefrontal-limbic connectivity quantum cognition (structural analogy) contemplative neuroscience decision dynamics