Universal Darwinism as a process of Bayesian inference
John O. Campbell

TL;DR
This paper demonstrates that natural selection can be understood as a form of Bayesian inference, unifying various evolutionary processes under a common mathematical framework based on free energy minimization.
Contribution
It establishes that natural selection is mathematically equivalent to Bayesian inference, extending the concept to encompass mental and cultural evolution within a unified framework.
Findings
Natural selection can be modeled as Bayesian inference.
Evolutionary processes operate via free energy minimization.
The framework unifies biological, mental, and cultural evolution.
Abstract
Many of the mathematical frameworks describing natural selection are equivalent to Bayes Theorem, also known as Bayesian updating. By definition, a process of Bayesian Inference is one which involves a Bayesian update, so we may conclude that these frameworks describe natural selection as a process of Bayesian inference. Thus natural selection serves as a counter example to a widely-held interpretation that restricts Bayesian Inference to human mental processes (including the endeavors of statisticians). As Bayesian inference can always be cast in terms of (variational) free energy minimization, natural selection can be viewed as comprising two components: a generative model of an "experiment" in the external world environment, and the results of that "experiment" or the "surprise" entailed by predicted and actual outcomes of the "experiment". Minimization of free energy implies that…
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