Due process in dual process: model-recovery simulations of decision-bound strategy analysis in category learning

Edmunds, C.E.R ORCID: 0000-0002-0524-8756, Milton, F and Wills, A.J (2018) 'Due process in dual process: model-recovery simulations of decision-bound strategy analysis in category learning.' Cognitive Science, 42 (S3). pp. 833-860.

Abstract

Behavioral evidence for the COVIS dual-process model of category learning has been widely reported in over a hundred publications (Ashby & Valentin, 2016). It is generally accepted that the validity of such evidence depends on the accurate identification of individual participants' categorization strategies, a task that usually falls to Decision Bound analysis (Maddox & Ashby, 1993). Here, we examine the accuracy of this analysis in a series of model-recovery simulations. In Simulation 1, over a third of simulated participants using an Explicit (conjunctive) strategy were misidentified as using a Procedural strategy. In Simulation 2, nearly all simulated participants using a Procedural strategy were misidentified as using an Explicit strategy. In Simulation 3, we re-examined a recently reported COVIS-supporting dissociation (Smith et al., 2014) and found that these misidentification errors permit an alternative, single-process, explanation of the results. Implications for due process in the future evaluation of dual-process theories, including recommendations for future practice, are discussed.

Item Type:	Article
Keywords:	COVIS, decision-bound analysis, dual systems, categorization strategies
Divisions:	School of Sciences
Date Deposited:	17 Oct 2022 13:05
Last Modified:	04 Aug 2023 05:30
ISSN:	0364-0213
URI / Page ID:	https://researchspace.bathspa.ac.uk/id/eprint/15019

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