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Rate distortion coevolutionary dynamics and the flow nature of cognitive\n epigenetic systems

2011/01/25 by James F. Glazebrook, Glazebrook, James F., Rodrick Wallace +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #92B05 94A34 82B31 #Cognitive Science and Mapping #Computability, Logic, AI Algorithms #FOS: Biological sciences #Gene Regulatory Network Analysis #Origins and Evolution of Life #Other Quantitative Biology (q-bio.OT)

paper · pdf · doi:10.48550/arxiv.1101.4984

openalex publication_date 2011/01/25 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28

Abstract

We outline a model for a cognitive epigenetic system based on elements of the\nShannon theory of information and the statistical physics of the generalized\nOnsager relations. Particular attention is paid to the concept of the rate\ndistortion function and from another direction as motivated by the\nthermodynamics of computing, the fundamental homology with the free energy\ndensity of a physical system. A unifying aspect of the dynamic framework\ninvolves the concept of a groupoid and of a groupoid atlas. From a stochastic\ndifferential equation we postulate a multidimensional Ito process for an\nepigenetic system from which a stochastic flow may permeate through components\nof this atlas.\n

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