Shanks, DR;
Lagnado, D;
(2000)
Sub-optimal reasons for rejecting optimality.
BEHAV BRAIN SCI
, 23
(5)
761 - 762.
10.1017/S0140525X00453446.
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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 |
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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 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: | https://discovery.ucl.ac.uk/id/eprint/150001 |
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