Literature DB >> 21299318

Predicting reasoning from memory.

Evan Heit1, Brett K Hayes.   

Abstract

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. (c) 2010 APA, all rights reserved.

Mesh:

Year:  2011        PMID: 21299318     DOI: 10.1037/a0021488

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  8 in total

1.  Recognition confidence under violated and confirmed memory expectations.

Authors:  Antonio Jaeger; Justin C Cox; Ian G Dobbins
Journal:  J Exp Psychol Gen       Date:  2011-10-03

2.  How similar are recognition memory and inductive reasoning?

Authors:  Brett K Hayes; Evan Heit
Journal:  Mem Cognit       Date:  2013-07

3.  The multifold relationship between memory and decision making: an individual-differences study.

Authors:  Fabio Del Missier; Timo Mäntylä; Patrik Hansson; Wändi Bruine de Bruin; Andrew M Parker; Lars-Göran Nilsson
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2013-04-08       Impact factor: 3.051

4.  Memory, reasoning, and categorization: parallels and common mechanisms.

Authors:  Brett K Hayes; Evan Heit; Caren M Rotello
Journal:  Front Psychol       Date:  2014-06-17

5.  FN400 amplitudes reveal the differentiation of semantic inferences within natural vs. artificial domains.

Authors:  Changquan Long; Mingming Zhang; Ruifang Cui; Jie Chen
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

6.  Neural Oscillation Profiles of a Premise Monotonicity Effect During Semantic Category-Based Induction.

Authors:  Mingze Sun; Feng Xiao; Changquan Long
Journal:  Front Hum Neurosci       Date:  2019-10-15       Impact factor: 3.169

7.  P3a amplitude is related to conclusion specificity during category-based induction.

Authors:  Hong Wang; Ruifang Cui; Changquan Long
Journal:  PLoS One       Date:  2020-03-04       Impact factor: 3.240

8.  The categorisation of non-categorical colours: a novel paradigm in colour perception.

Authors:  Simon J Cropper; Jessica G S Kvansakul; Daniel R Little
Journal:  PLoS One       Date:  2013-03-25       Impact factor: 3.240

  8 in total

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