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Decision Making with Imperfect Decision Makers
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SYSNO ASEP 0364848 Document Type B - Monograph R&D Document Type Monograph Title Decision Making with Imperfect Decision Makers Author(s) Guy, Tatiana Valentine (UTIA-B ed.) RID, ORCID
Kárný, Miroslav (UTIA-B ed.) RID, ORCID
Wolpert, D. (ed. US)Number of authors 3 Issue data Berlin: Springer, 2012 ISBN 978-3-642-24646-3 Series Intelligent Systems Reference Library Series number Vol. 28 Number of pages 210 s. Language eng - English Country DE - Germany Keywords Decision Making ; Imperfect Decision Makers ; Intelligent Systems Subject RIV BC - Control Systems TheoryIN - Informatics, Computer Science R&D Projects GA102/08/0567 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation 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, little research has been done from the perspective of computer science and associated disciplines like machine learning, information theory and neuroscience. This book is a major contribution to such research. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2012
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