Decision making with imperfect decision makers /

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Bibliographic Details
Imprint:Berlin ; New York : Springer, c2012.
Description:1 online resource (xiv, 194 p.)
Language:English
Series:Intelligent systems reference library, 1868-4394 ; v.28
Intelligent Systems Reference Library ; v.28.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8871929
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Other authors / contributors:Guy, Tatiana Valentine.
Kárný, M.
Wolpert, David H.
ISBN:9783642246470 (electronic bk.)
3642246478 (electronic bk.)
9783642246463
Notes:Includes bibliographical references and author index.
Summary:Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision-making that it should be accepted as an inherent feature of real decision makers living within interacting societies. To date such societies have been investigated from an economic and gametheoretic perspective, and even to a degree from a physics perspective. However, lit