Procedural Memory Effects in Categorization: Evidence for Multiple Systems or Task Complexity?

Overview

Journal Mem Cognit

Specialty Psychology

Date 2013 Nov 13

PMID 24217892

Citations 3

Authors

Safa R Zaki

Dave F Kleinschmidt

Affiliations

Soon will be listed here.

Abstract

According to an influential multiple-systems model of category learning, an implicit procedural system governs the learning of information-integration category structures, whereas a rule-based system governs the learning of explicit rule-based categories. Support for this idea has come in part from demonstrations that motor interference, in the form of inconsistent mapping between response location and category labels, results in observed deficits, but only for learning information-integration category structures. In this article, we argue that this response location manipulation results in a potentially more cognitively complex task in which the feedback is difficult to interpret. In one experiment, we attempted to attenuate the cognitive complexity by providing more information in the feedback, and demonstrated that this eliminates the observed performance deficit for information-integration category structures. In a second experiment, we demonstrated similar interference of the inconsistent mapping manipulation in a rule-based category structure. We claim that task complexity, and not separate systems, might be the source of the original dissociation between performance on rule-based and information-integration tasks.

Citing Articles

Novel representations that support rule-based categorization are acquired on-the-fly during category learning.

Soto F, Ashby F Psychol Res. 2019; 83(3):544-566.

PMID: 30806809 DOI: 10.1007/s00426-019-01157-7.

Use of evidence in a categorization task: analytic and holistic processing modes.

Greco A, Moretti S Cogn Process. 2017; 18(4):431-446.

PMID: 28808826 DOI: 10.1007/s10339-017-0829-2.

Differential Impact of Visuospatial Working Memory on Rule-based and Information-integration Category Learning.

Xing Q, Sun H Front Psychol. 2017; 8:530.

PMID: 28439250 PMC: 5384164. DOI: 10.3389/fpsyg.2017.00530.

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