Latent Learning
Updated 2026-08-05
INTRODUCTION
English translation pending.
CORE DEFINITION
Demonstrated by Edward Tolman through maze experiments with rats, latent learning shows that organisms acquire knowledge of their environment without reward and display it only when a reason to perform appears. Rats allowed to explore a maze without reward later navigated it efficiently once food was introduced. The core claim is that reinforcement affects performance rather than learning itself. The qualification is that latent knowledge still requires an opportunity and a motive to become visible.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use Exploration Budget: Allow unstructured exposure to a domain before demanding measurable output from it. - Use Trigger Preparation: Recognize that stored knowledge becomes usable when the right motive appears. - Use Patience With Quiet: Avoid judging learning by immediate performance, since the map may already be forming.
Anchor fast decisions
Exploration builds an internal model of how a domain is structured even when no reward is attached, because the organism encodes spatial and causal relations automatically. The knowledge stays inactive because there is no reason to act on it. When a motive appears, the existing model can be used at once, which is why performance jumps sharply rather than improving gradually from the moment reward begins.
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/Latent_learningverified
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