How do biological organisms evolve their generative model to account for new sensory observations?

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• Generative models are entailed by adaptive behavior, not explicitly encoded in brain statesclaim0.804
  Distinction from Bayesian brain: generative model is consequence of dynamics, not neural representation
• Conceptual advances in the links between machine learning and evolution now provide quantitative formalisms with which to begin to develop testable models of collective intelligence across scales.claim0.781
  Asserts that the time is ripe for formal models.
• Can Perception And Polycomputation Explain How Evolution Generatesquestion0.772
• How can selection explain adaptations at system level before the higher-level unit exists as an evolutionary unit?question0.769
  Fundamental challenge: conventional evolutionary theory cannot explain system-level features required for ETI without presupposing the higher-level unit.
• How Do Biological Systems At Different Scales Generatequestion0.768
• Any system that persists must minimise surprisal, thereby gathering evidence for its own generative model, a process known as self-evidencing.claim0.767
  Foundational claim of the paper, defining self-evidencing.
• Agents perceive by minimizing variational free energy to ensure model consistency with past observations and act by minimizing expected free energy to make future sensations consistent with preferences.claim0.764
  Formalization of perception-action cycle integrating inference and decision-making.
• What is the generative model that best explains observable data from a behaving agent?question0.764
  Central challenge for active inference stated in Discussion.