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concept:natural-selection-as-bayesian-model-selectionNatural Selection as Bayesian Model Selection
Analogy between evolution (model selection) and Bayesian model reduction; but evolution is not curious or insightful
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Claims (1)
claim
- Proposed criterion distinguishing conscious from non-conscious inference processes
Concepts (1)
concept
- Bayesian Model Selectionrelated_toChoosing among candidate models based on model evidence.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Source paper for Bayesian model reduction methodology used in structure learning
- Comparing models using log-evidence approximated by free energy.
- Selection/weighting strategy for ICL demonstrations; in UCCT terms alters context posterior
- The stage in the genetic algorithm where top 10% embryos by phenotypic fitness are selected.
- The theory that variation and selection drive evolution; Schrödinger integrates it with quantum theory to explain gene stability.
- Adding new states or parameters to the generative model if it increases model evidence, enabling concept learning.
- The probability of sensory data under a generative model; negative log evidence is bounded by free energy.
- Framework for maximizing expected utility under uncertainty.