Active Inference · Paper · 2023

A variational synthesis of evolutionary and developmental dynamics

Karl Friston, Daniel A. Friedman, Axel Constant, V. Bleu Knight, Chris Fields, Thomas Parr, John O. Campbell

Entropy

Catalog Row48
Citation KeyFriedman2023VariationalSynthesisEvolutionaryDevelopmental048
Paper FolderAvailable
Platform availability
  • ⬜ Zenodo
  • ⬜ GitHub
  • ⬜ arXiv
  • ⬜ OSF
  • ⬜ HuggingFace
  • ⬜ Software Heritage
  • ⬜ PyPI
  • Full documentation

Overview

Extracted from the local paper documentation when available.

This paper introduces a variational formulation of natural selection, using the Bayesian mechanics of particular partitions to understand how slow phylogenetic processes constrain fast phenotypic processes. The main result is a formulation of adaptive fitness as a path integral of phenotypic fitness, unifying evolutionary and developmental dynamics through the Free Energy Principle.

variational synthesisnatural selectionFree Energy PrincipleBayesian mechanicspath integralevo-devoadaptive fitnessparticular partition

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • This paper introduces a variational formulation of natural selection, using the Bayesian mechanics of particular partitions to understand how slow phylogenetic processes constrain fast phenotypic proc
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. A variational synthesis of evolutionary and developmental dynamics. Entropy. DOI: 10.3390/e25070964. URL: https://doi.org/10.3390/e25070964.

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