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concept:surprisal-minimizationsurprisal minimization
The principle that agents must minimise prediction error (surprisal) to persist.
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Concepts (1)
concept
- surprisal minimisationrelated_toThe core imperative under the Free Energy Principle; systems must reduce the difference between predicted and actual sensory states.
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.
- Core principle: acting to maximize value is equivalent to minimizing surprise by sampling environment to conform to expectations.
- Foundational claim derived from the Free Energy Principle, setting up self-evidencing.
- The progressive reduction of error (stress) as cells move toward their target positions.
- The drive to reduce expected ambiguity about outcomes given states, leading to seeking well-lit, informative environments.
- Opening sentence defining self-evidencing.
- Minimizing variational free energy for perceptual inference and learning of model parameters.
- Negative log probability of an outcome under the generative model; minimized in active inference.