claim
active
claim:acting-to-maximize-value-is-the-same-as-acting-to-minimize-surprise-value-is-simply-the-probability-of-sensory-input-expected-by-an-agentActing to maximize value is the same as acting to minimize surprise; value is simply the probability of sensory input expected by an agent.
Reinterprets classical reward/value concepts through free energy lens.
Source paper
extracted_from(2008) · Karl Friston
Neighborhood — ranked by edge-count
Communities (3)
community
- Active inference & agent ecologymembers_ofFree energy minimization, Markov blankets, trust gradients, and multi-agent rhythm/deferral frameworks
- Friston's framework unifying perception, action, and learning under variational free energy minimization.
- Framework treating agency, cognition, and system boundaries as measurable quantities determined by prediction/control efficiency rather than philosophical stipulation.
Concepts (4)
concept
- valueassociated_withProbability of sensory input expected by an agent, aligning value maximization with surprise minimization.
- Surpriseassociated_withThe negative log probability of sensory samples; minimized by free energy.
- actionassociated_withChanging configuration to sample environment differently; minimizes free energy.
- Surprise MinimizationsupportsCore principle: acting to maximize value is equivalent to minimizing surprise by sampling environment to conform to expectations.
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.
- Concise statement of the free-energy principle's unification of action and perception.
- Redefinition of value in probabilistic terms.
- Redefines value in probabilistic terms, linking to surprise minimisation.
- Foundational claim unifying action and perception within single optimization framework.
- The reward hypothesis underpinning RL, quoted from Sutton and Barto.
- §1, contrasting RL reward conceptualization.
- Demonstration that model-level priors (not parameter-level knowledge) suffice for immediate transfer
- Radical extension of the living-structure thesis into normative territory.