Predicting Reasoning From Memory

Evan Heit

doi:10.1037/a0021488

Predicting Reasoning From Memory

2011-01-01

28

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AI

DOI：10.1037/a0021488

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In an effort to assess the relations between reasoning and memory, in 8 experiments, the authors examined how well responses on an inductive reasoning task are predicted from responses on a recognition memory task for the same picture stimuli. Across several experimental manipulations, such as varying study time, presentation frequency, and the presence of stimuli from other categories, there was a high correlation between reasoning and memory responses (average r = .87), and these manipulations showed similar effects on the 2 tasks. The results point to common mechanisms underlying inductive reasoning and recognition memory abilities. A mathematical model, GEN-EX (generalization from examples), derived from exemplar models of categorization, is presented, which predicts both reasoning and memory responses from pairwise similarities among the stimuli, allowing for additional influences of subtyping and deterministic responding.

Keyword:

inductive reasoning

recognition memory

similarity

mathematical modeling

Predicting Reasoning From Memory

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