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Sub-optimal reasons for rejecting optimality

Shanks, DR; Lagnado, D; (2000) Sub-optimal reasons for rejecting optimality. BEHAV BRAIN SCI , 23 (5) 761 - 762. 10.1017/S0140525X00453446. Green open access

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Abstract

Although we welcome Gigereuzer, Todd, and the ABC Research Group's shift of emphasis from "coherence" to "correspondence" criteria, their rejection of optimality in human decision making is premature: In many, situations, experts can achieve near-optimal performance. Moreover, this competence does not require implausible computing power. The models Gigerenzer et al. evaluate fail to account for many of the most robust properties of human decision making, including examples of optimality.

Type: Article
Title: Sub-optimal reasons for rejecting optimality
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/S0140525X00453446
Publisher version: http://dx.doi.org/10.1017/S0140525X00453446
Language: English
Additional information: © 2000 Cambridge University Press
Keywords: CATEGORIZATION, CHOICE
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: http://discovery.ucl.ac.uk/id/eprint/150001
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