concept
active
concept:prior-preferencesPrior Preferences
Target distribution over states or outcomes encoded in the generative model; goal states.
Neighborhood — ranked by edge-count
Concepts (3)
concept
- Prior Preferences over Outcomesrelated_tosame_asReplaces explicit reward signal in active inference; encodes agent's preferred observations independent of environment.
- Extrinsic Value / Pragmatic Valueassociated_withThe component of expected free energy that drives utility-maximizing actions based on prior preferences over outcomes.
- Preference Learningassociated_withThe ability of active inference agents to learn their own prior preferences over outcomes by accumulating Dirichlet parameters from experience.
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.
- Cognitive bifurcation event where second-order contextual constraints reorganize semantic space, establishing weighted alternatives for action.
- Beliefs about states before data; used to transcribe task instructions into agent's generative model
- The key novel contribution: an internal model that learns the density of familiar multisensory experiences and drives mark-removal behavior through mismatch with the free energy principle
- Key element for alignment faking: model's pre-existing preferences contradict the new training objective
- The problematic possibility of digital minds with superhumanly strong preferences requiring interpersonal utility comparison frameworks
- Behavioral and stated consistency that implies the model is pursuing some objective, without claiming genuine internal states
- Designing digital minds to have preferences that are trivially easy to satisfy, yielding high welfare at minimal resource cost
- Prior expectations encoded in top-down cortical signals; balance with bottom-up input modulated by precision.