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A Dual‐Process Diffusion Model

Bibliographic Data

ID12166802
AuthorsCarlos Alós-Ferrer (0000-0002-1668-9784, University of Cologne, corresponding author), Carlos Alós‐Ferrer (Department of Economics University of Cologne Cologne Germany)
Year2016
Volume31
Issue2
Pages203-218
Publication date2016-05-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Behavioral Decision Making (JOURNAL)
Journal identifiersISSN: 0894-3257 • E-ISSN: 1099-0771
PublisherWiley (PUBLISHER • GB)
DOI10.1002/bdm.1960
OpenAlexW2347004359
LanguageEN
Citations received11
References cited73

This paper presents a simple formal analytical model delivering qualitative predictions for response times in binary‐choice experiments. It combines a dual‐process/multi‐strategy approach with the standard diffusion model, modeling a utility decision process and a heuristic decision process as diffusion processes of evidence accumulation. For experiments with objective alternatives (including many tasks in judgment and decision making), the model predicts that errors will be quicker than correct responses in case of process conflict and slower in case of alignment, capturing a well‐documented asymmetry regarding slow or fast errors. Further, the model also predicts that correct responses are slower in case of conflict than in case of alignment, capturing the well‐known Stroop effect. The model is also extended to cover experiments with subjective alternative evaluations, that is, preferential choice. In this case, results depend on whether trials are hard or easy, that is, on whether the heuristic can be interpreted as relatively automatic or not. Copyright © 2016 John Wiley & Sons, Ltd

Cognition · Diffusion · Dual (grammatical number · Dual process theory (moral psychology · Heuristic · Machine learning · Process (computing · Computer Science · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Environmental Education and Sustainability · Psychology · Artificial Intelligence

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Unique citing works11
Citations per year1,38
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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