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A Variational Synthesis of Evolutionary and Developmental Dynamics.

Karl Friston1, Daniel A Friedman2,3, Axel Constant4

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Summary
This summary is machine-generated.

This study presents a variational approach to natural selection, formulating adaptive fitness as a path integral. It reveals that populations are best understood as interacting natural kinds, not just conspecifics.

Keywords:
BayesianMarkov blanketevolutionnatural selectionnonequilibriumparticular partitionrenormalisation groupself-organisationvariational inference

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Area of Science:

  • Evolutionary biology
  • Mathematical biology
  • Theoretical ecology

Background:

  • Natural selection is typically modeled at the population level.
  • Understanding the interplay between phylogenetic and phenotypic processes is complex.

Purpose of the Study:

  • To introduce a variational formulation of natural selection.
  • To model the relationship between phylogenetic and phenotypic processes.
  • To redefine the concept of a population in evolutionary contexts.

Main Methods:

  • Utilizing Bayesian mechanics of particular partitions.
  • Formulating adaptive fitness as a path integral of phenotypic fitness.
  • Applying principles of variational inference and Bayesian model selection.

Main Results:

  • Adaptive fitness is formulated as a path integral.
  • Phenotypic and phylogenetic paths are interpreted as inference and learning processes.
  • Populations must be modeled as interacting "natural kinds" rather than conspecifics.

Conclusions:

  • The variational synthesis offers a novel perspective on evolutionary dynamics.
  • Modeling populations as distinct, interacting natural kinds is essential.
  • This framework provides a basis for future simulations and analyses in evolutionary mathematics.