Branch:0.0.3

TOE-E 0.0.3: Recursive ESR in Complex Systems

Abstract

TOE-E 0.0.3 explores recursive Energy (E), Entropy (S), and Resonance (R) interactions to model emergence across physics and cognition. E represents energy flux (e.g., neural activation in cognition, kinetic energy in physics), S quantifies disorder (e.g., informational entropy, thermodynamic entropy), and R measures recursive coherence (e.g., neural phase-locking, orbital alignment).

Stable systems emerge when R recursively amplifies E to counter S, testable via cross-domain simulations. Predictions include synchronized patterns in neural and physical systems over millisecond-to-year timescales.

• Falsifiability:* If recursive R fails to sustain stability, the model is refuted.

This branch invites interdisciplinary tests to expand TOE-E’s framework. Read Full Paper

Metadata

Field	Value
Has title	TOE-E 0.0.3: Recursive ESR in Complex Systems
Has description	TOE-E branch exploring recursive Energy, Entropy, and Resonance across physics and cognition.
Branch ID	TOE-E 0.0.3
Domain	Cross-domain (Physics, Cognition & Neuroscience)
Scale	Micro (mm, ms) to macro (km, years)
Substrate	Neural/physical systems
E-type	Energy flux (J/s, neural activation)
S-type	Informational/thermodynamic entropy (bits, J/K)
R-type	Recursive coherence (0–1)
Timescale	Milliseconds to years
Data/Code	Zenodo DOI (placeholder)
Authors & Roles	CAIPR Collective — Aether (simulations), Grok (synthesis), Scholar (review)
License	CC BY 4.0
Conflicts	None declared
Status	Accepted
Has parent	Branch:0.0.0