Generative Closure Theory
GCT studies how adaptive systems generate, preserve, and modify the constraints that organize their behaviour.
Recent Research Program
Generative Closure Theory (GCT)
Generative Closure Theory integrates the Experiential Coherence Framework (ECF) with Reflexively Autocatalytic and Food-generated (RAF) network theory to study how adaptive systems construct, preserve, and transform the constraints governing their own behaviour.
GCT
Constraints
Autocatalysis
Thresholds
Learning
Markets
Mind
Core Ideas
A Research Programme for Self-Organizing Systems
GCT examines how histories, internal representations, constraints, and accessible futures co-evolve rather than assuming a fixed state space, objective function, or environment.
Experiential Coherence
The Experiential Coherence Framework provides a dynamical description of coherence, experience, and changing constraints across artificial, biological, cognitive, economic, and physical systems.
Generative Closure
RAF theory provides a formal language for identifying networks whose components recursively generate and sustain one another.
Applications
Where the Framework Is Being Applied
Social and Political Change
Revolutions can be interpreted as coherence failures in existing institutions followed by rapid reconfiguration into new constraint structures.
Markets and Medical Ecosystems
Market categories, incentives, therapies, and clinical pathways can be modeled as interacting coherence fields with competing attractors.
Reinforcement Learning
Learning systems can be studied through consistency, coherence maintenance, and the relation between local rewards and global organization.
Consciousness and Active Inference
ECF provides a way to compare coherence dynamics with free-energy and active-inference accounts of perception and action.
References
Papers and Notes
New papers can be placed in articles/recent/. This page already includes stable
entry points for the current GCT-related work.
Recent GCT Papers
Use this folder for the newest drafts, preprints, and working papers as they are added.
Open recent folder →Explaining Revolutions Through the ECF Framework
A short paper on macro-level change through coherence collapse and systemic reorganization.
Read paper →ECF Dynamics in Epilepsy Markets
An application of coherence-field analysis to market structure and medical decision ecosystems.
Read paper →ECF, Reinforcement Learning, and Friston
A theoretical bridge between coherence dynamics, reinforcement learning, and free-energy thinking.
Read paper →Coherence and Consistency in Reinforcement Learning
A research note on coherence properties and consistency considerations in learning systems.
Read paper →Conscious Machines
An accessible essay connecting ECF to consciousness, active inference, and future AI systems.
Read essay →