Surprise Minimization
Updated 2026-08-08
INTRODUCTION
English translation pending.
CORE DEFINITION
A principle from the free energy framework developed by Karl Friston, building on predictive coding and on Helmholtz's idea of perception as inference. Organisms are modeled as minimizing the long-run surprise of their sensory input, understood as the negative log probability of observations. They do so either perceptually, by revising beliefs to match data, or actively, by changing the world to match predictions. The claim is qualified: minimization concerns expected long-run free energy rather than each instantaneous surprise.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use Prediction Audit: Write down what you expect before acting, then compare it with what happened. - Use Two-Path Choice: When reality diverges, decide whether to update the belief or change the situation. - Use Anxiety Reading: Treat persistent anxiety as a signal of unresolved prediction error needing action or revision.
Anchor fast decisions
A predictive system constantly generates expectations and compares them with incoming sensory data. Mismatch produces an error signal that either drives belief revision or motivates actions that alter the input. Because both routes reduce the same quantity, perception, learning, and action become different means to one end. Chronic unresolved mismatch accumulates as arousal and anxiety, which is why unaddressed discrepancies feel increasingly costly over time.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Free_energy_principleverified
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