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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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.
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