Bayes and Darwin: How replicator populations implement Bayesian computations
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DOI: 10.1002/bies.202100255
Abstract: Bayesian learning theory and evolutionary theory both formalize adaptive competition dynamics in possibly high‐dimensional, varying, and noisy environments. What do they have in common and how do they differ? In this paper, we discuss structural… read more here.
Keywords: populations implement; replicator populations; darwin replicator; bayes darwin ... See more keywords
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
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DOI: 10.1016/j.tics.2020.09.013
Abstract: Recent work in cognitive science has uncovered a diversity of explanatory values, or dimensions along which we judge explanations as better or worse. We propose a Bayesian account of these values that clarifies their function… read more here.
Keywords: implement bayesian; consilience explanatory; probability consilience; explanatory values ... See more keywords