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Probability Learning
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Definition of 'Probability Learning'

Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to responses; it may also refer to the frequency of occurrence of the responses observed in the particular study.

Common names: Probability Learning; Learning, Probability; Learnings, Probability; Probability Learnings

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Saturday, November 21, 2009

Doomed to repeat the successes of the past: history is best forgotten for repeated choices with nonstationary payoffs.

29 Sep 2009 Many everyday tasks involve repeated choices in which past outcomes are used to estimate payoffs but in which present payoffs may differ from past ones. Two experiments with 10 decision problems employing the decisions-from-feedback paradigm ... Read more...


The conceptual centrality of causal cycles.

30 Aug 2009 How do causal cycles affect judgments of conceptual centrality? Generally, a feature is central to a concept to the extent that other features in the concept depend on it, thereby rendering it immutable from the concept (Sloman, Love, & Ahn, 1998). ... Read more...


Induction with uncertain categories: When do people consider the category alternatives?

30 Aug 2009 These three experiments examined how people make property inferences about exemplars whose category membership is uncertain. Participants were shown two categories and a novel exemplar with a feature that indicated that the exemplar was more likely ... Read more...

 

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Technical information about 'Probability Learning'

Definition: Usually refers to the use of mathematical models in the prediction of learning to perform tasks based on the theory of probability applied to responses; it may also refer to the frequency of occurrence of the responses observed in the particular study.

Descriptor UI: D011337

Alternative terms: Probability Learning; Learning, Probability; Learnings, Probability; Probability Learnings;

Tree Number: F02.463.425.701;

History Note: 69(66)

Technical Notes: no qualif

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