The Entropic Markov Model (EMM): System and Method for Predicting Dynamic Outcomes in Human, Organizational, and Socio-Technical Systems

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Auteur principal: Anderson, Nicola
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Publié: Zenodo 2025
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author Anderson, Nicola
author_facet Anderson, Nicola
contents <p>The Entropic Markov Model (EMM) provides a unified computational framework for analyzing and predicting transitions in complex adaptive systems.</p> <p>By introducing entropy-weighted probabilistic transitions and behavioral-energy coefficients, EMM captures both structural uncertainty and motivational momentum within dynamic environments.</p> <p>The model applies to human, organizational, and socio-technical systems where state changes are influenced by internal energy and disorder.</p> <p> </p> <p>This paper presents the theoretical basis, algorithmic structure, and multi-domain applicability of EMM, including organizational transformation, behavioral analytics, and macro-system forecasting.</p> <p> </p> <p>Patent Pending – U.S. Application No. 19/362,400.</p>
format Recurso digital
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publishDate 2025
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spellingShingle The Entropic Markov Model (EMM): System and Method for Predicting Dynamic Outcomes in Human, Organizational, and Socio-Technical Systems
Anderson, Nicola
Entropic Markov Model, Complex Systems, Behavioral Energy, Entropy Dynamics, Organizational Transformation, Systems Science, Probabilistic Modeling, Adaptive Systems, Forecasting
<p>The Entropic Markov Model (EMM) provides a unified computational framework for analyzing and predicting transitions in complex adaptive systems.</p> <p>By introducing entropy-weighted probabilistic transitions and behavioral-energy coefficients, EMM captures both structural uncertainty and motivational momentum within dynamic environments.</p> <p>The model applies to human, organizational, and socio-technical systems where state changes are influenced by internal energy and disorder.</p> <p> </p> <p>This paper presents the theoretical basis, algorithmic structure, and multi-domain applicability of EMM, including organizational transformation, behavioral analytics, and macro-system forecasting.</p> <p> </p> <p>Patent Pending – U.S. Application No. 19/362,400.</p>
title The Entropic Markov Model (EMM): System and Method for Predicting Dynamic Outcomes in Human, Organizational, and Socio-Technical Systems
topic Entropic Markov Model, Complex Systems, Behavioral Energy, Entropy Dynamics, Organizational Transformation, Systems Science, Probabilistic Modeling, Adaptive Systems, Forecasting
url https://doi.org/10.5281/zenodo.17392126