The Entropic Markov Model (EMM): System and Method for Predicting Dynamic Outcomes in Human, Organizational, and Socio-Technical Systems
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2025
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| _version_ | 1866902007691870208 |
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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 |
| id | zenodo_https___doi_org_10_5281_zenodo_17392126 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| 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 |