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framework:block-s-meat-hypothesis

Block's Meat Hypothesis

Claim that consciousness depends on subcomputational biological realisers, not just functional roles.

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Thinkers (2)

thinker

Concepts (1)

concept
  • Block's distinction between second-order functional roles and first-order physical realisers, used to formalise substrate constraints.

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.

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    The conjecture that consciousness does not result from the organized mind but creates and maintains complex models of reality; forms at the beginning of mental development
  • Reward Hypothesisconcept0.739
    The claim in RL that any goal can be expressed as maximizing the expected cumulative sum of a scalar reward signal.
  • The hypothesis that analogous features and circuits reliably form across different neural network models and tasks
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  • Deep networks are biased toward finding simple fits to data, and this bias increases with model size, driving convergence
  • Normative theory proposing biological systems perform approximate Bayesian inference through free energy minimization.
  • Argues that there are fewer representations competent for N tasks than M<N tasks, so more general models have a smaller solution space
  • Ability to entertain competing hypotheses within one inference engine; proposed hallmark of mindful inference