Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint
Data sources: ZENODO
addClaim

A Coherence–Entropy Formalism for Stability and Enforcement Dynamics in Complex Systems: The DOCUAN Model

Authors: Cuevas-Andújar, Domingo;

A Coherence–Entropy Formalism for Stability and Enforcement Dynamics in Complex Systems: The DOCUAN Model

Abstract

This work introduces the DOCUAN framework, a quantitative model for analyzing stability, order, and enforcement dynamics in complex systems. The model defines system order as a function of structural constraints and dynamic variables including application fidelity, execution effectiveness, proportionality, and traceability. By integrating principles from information theory and statistical mechanics, coherence is formalized as a measurable quantity inversely related to entropy. A system of coupled differential equations is derived to describe the evolution of coherence and impunity within dynamic environments. Stability analysis reveals critical thresholds governing system equilibrium and collapse conditions. Numerical simulations demonstrate how variations in traceability and enforcement mechanisms influence system behavior over time. The framework provides a predictive and testable structure applicable to institutional systems, economic networks, and artificial intelligence governance. This work contributes a novel bridge between structural regulation and dynamic system stability in complex environments.QUE PONGO EN

Powered by OpenAIRE graph
Found an issue? Give us feedback