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Fast, frugal, and surprisinglyaccurate heuristics

Published online by Cambridge University Press:  09 April 2001

R. Duncan Luce
Affiliation:
Social Science Plaza, Departments of Cognitive Sciences and Economics, University of California, Irvine, CA 92697-5100 rdluce@uci.edu
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Abstract

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A research program is announced, and initial, exciting progress described. Many inference problems, poorly modeled by some traditional approaches, are surprisingly well handled by kinds of simple-minded Bayesian approximations. Fuller Bayesian approaches are typically more accurate but rarely are they either fast or frugal. Open issues include codifying when to use which heuristic and to give detailed evolutionary explanations.

Information

Type
Open Peer Commentary
Copyright
© 2000 Cambridge University Press