Due Process in Dual Process: Model‐Recovery Simulations of Decision‐Bound Strategy Analysis in Category Learning. (23rd March 2018)

• Record Type: Journal Article
• Authors: Edmunds, Charlotte E. R.; Milton, Fraser; Wills, Andy J.
• Is Part Of: Cognitive science. Volume 42(2018)Supplement 3
• Page Start: 833
• Page End: 860
• Publication Date: 2018-03-23
• Subjects: COVIS -- Decision‐bound analysis -- Dual systems -- Categorization strategies; Cognition -- Periodicals; Psycholinguistics -- Periodicals; Artificial intelligence -- Periodicals; 153.05
• DOI: 10.1111/cogs.12607
• Languages: English
• ISSNs: 0364-0213

Abstract

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.