claim
active
claim:an-aha-moment-is-necessarily-subpersonal-one-can-never-remember-or-articulate-abductive-reasoning-at-the-level-of-the-model-being-optimized-because-optimizing-a-model-is-fundamentally-different-from-modeling-an-optimizationAn aha moment is necessarily subpersonal: one can never remember or articulate abductive reasoning at the level of the model being optimized, because optimizing a model is fundamentally different from modeling an optimization.
Philosophical implication of associating insight with model-level (not parameter-level) optimization
Source paper
extracted_from(2017) · Karl Friston · Marco Lin · Chris Frith · Giovanni Pezzulo +2
Neighborhood — ranked by edge-count
Findings (1)
finding
- Evidence that pre-insight neural states (resting EEG) predict insight; supports role of reflection/mind wandering
Claims (1)
claim
- Core claim linking insight to post hoc Bayesian model optimization
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