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Mathematical foundations of life; mind and all emergent phenomena
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DOI：10.3389/fnsys.2026.1803434.png)
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Abstract
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This paper gives a roadmap for filling in a new integrated worldview; from physics to emergent phenomena; presented at Werbos (2010). That worldview starts from the assumption that the cosmos we live in is a dynamical system; which obeys what I call Hard Core Einsteinian realism (HCER); which can be approximated very well in our level of life by quantum electrodynamics as formulated by Everett; Wheeler and Deutsch (EWD) (Deutsch; 1997). In principle all of the patterns which emerge in such a cosmos are fully; precisely specified by knowing the equilibrium probability distribution (equivalent to the entropy function) for that dynamical system. These functions are known precisely for a wide class of EWD and HCER theories. Thus the understanding of life; mind and other emergent phenomena in our cosmos is equivalent to knowing the parameters of the underlying dynamical law (e.g.; H; for the case of EWD); and knowing useful ways to approximate what that probability function looks like. As an example; present theories of Darwinian evolution are basically just crude approximation systems for specific types pof state or pattern or object which we usually call “life.”
Keywords:
machine
learning
life
mind
cosmos
dynamical system
ehtropy
reality
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