Racing for the city: The recognition heuristic and compensatory alternatives

Détails

Ressource 1Demande d'une copieEtat: Supprimée
Version: de l'auteur
ID Serval
serval:BIB_87428DDC6E92
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Racing for the city: The recognition heuristic and compensatory alternatives
Titre de la conférence
Proceedings of the 33rd Annual Conference of the Cognitive Science Society
Auteur(s)
Mehlhorn K., Marewski J. N.
Editeur
Austin, TX: Cognitive Science Society
ISBN
978-0-9768318-7-7
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Editeur scientifique
Carlson L., Hölscher C., Shipley T.
Pages
360-365
Langue
anglais
Résumé
In the last decade a debate in the decision making literature has centered on the question whether decisions can be better described by simple non-compensatory heuristics or by more complex compensatory strategies. We argue that this debate should be led at a higher level of precision Theories about decision strategies are implemented at different levels of description and they often only make verbal, qualitative predictions. This makes it difficult to compare between them and to test them against quantitative process data. A way to make theories comparable and improve the precision of their predictions is to model them within one computational framework. Using the example of the recognition heuristic, we show how simplifying dichotomies such as the one between non-compensatory and compensatory decision strategies can dissolve when using detailed quantitative models.
Mots-clé
Recognition heuristic, Compensatory strategies, Cognitive model, ACT-R
Création de la notice
14/10/2011 12:58
Dernière modification de la notice
03/03/2018 19:01
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