concept
active
concept:bayesian-credence-updating

Bayesian Credence Updating

The method's epistemic mechanism: indicators shift credences about AI consciousness through conditionalization

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Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Credencesconcept0.808
    Graded doxastic attitudes distinct from full belief, which might not suffice for knowledge.
  • Belief Updatingconcept0.789
    Recursive inference of hidden states and parameters using free energy minimization.
  • Adding new states or parameters to the generative model if it increases model evidence, enabling concept learning.
  • Prior framework explaining ICL as inference over task structure; UCCT adopts and extends the Bayesian lens
  • Bayesian inversionconcept0.754
    Online inversion of nonlinear dynamic causal models using DEM.
  • Umbrella framework for brain-centric Bayesian approaches; contrasted with active inference
  • The probability of sensory data under a generative model; negative log evidence is bounded by free energy.