Advancing theorizing about fast-and-slow thinking - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Behavioral and Brain Sciences Année : 2022

Advancing theorizing about fast-and-slow thinking

Résumé

Abstract Human reasoning is often conceived as an interplay between a more intuitive and deliberate thought process. In the last 50 years, influential fast-and-slow dual process models that capitalize on this distinction have been used to account for numerous phenomena—from logical reasoning biases, over prosocial behavior, to moral decision-making. The present paper clarifies that despite the popularity, critical assumptions are poorly conceived. My critique focuses on two interconnected foundational issues: the exclusivity and switch feature. The exclusivity feature refers to the tendency to conceive intuition and deliberation as generating unique responses such that one type of response is assumed to be beyond the capability of the fast-intuitive processing mode. I review the empirical evidence in key fields and show that there is no solid ground for such exclusivity. The switch feature concerns the mechanism by which a reasoner can decide to shift between more intuitive and deliberate processing. I present an overview of leading switch accounts and show that they are conceptually problematic—precisely because they presuppose exclusivity. I build on these insights to sketch the groundwork for a more viable dual process architecture and illustrate how it can set a new research agenda to advance the field in the coming years.
Fichier principal
Vignette du fichier
Advancing fast-and-slow BBS target.pdf (529.51 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03818304 , version 1 (17-10-2022)

Identifiants

Citer

Wim de Neys. Advancing theorizing about fast-and-slow thinking. Behavioral and Brain Sciences, In press, pp.1-68. ⟨10.1017/S0140525X2200142X⟩. ⟨hal-03818304⟩
22 Consultations
759 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More