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A multinomial model of applying recognition to judge between multiple alternatives

Beaman, P. (2012) A multinomial model of applying recognition to judge between multiple alternatives. In: 11th International Conference on Cognitive Modeling, 13-15 April 2012, Berlin, pp. 25-30.

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Official URL: http://www.iccm2012.com/proceedings/papers/0005/in...

Abstract/Summary

Proponents of the “fast and frugal” approach to decision-making suggest that inferential judgments are best made on the basis of limited information. For example, if only one of two cities is recognized and the task is to judge which city has the larger population, the recognition heuristic states that the recognized city should be selected. In preference choices with >2 options, it is also standard to assume that a “consideration set”, based upon some simple criterion, is established to reduce the options available. A multinomial processing tree model is outlined which provides the basis for estimating the extent to which recognition is used as a criterion in establishing a consideration set for inferential judgments.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Language and Cognition
ID Code:27841
Uncontrolled Keywords:Decision-making; n-AFC; MPT models; Recognition heuristic

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