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Decision Making with Imperfect Decision Makers
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SYSNO ASEP 0386716 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. H. (ed. US)Number of authors 3 Issue data Berlin: Springer-Verlag, 2012 ISBN 978-3-642-24646-3 ISSN 1868-4394 Series Intelligent Systems Reference Library Series number 28 Number of pages 194 s. Publication form Print - P Language eng - English Country DE - Germany Keywords decision making ; Bayesian decision making ; rationality Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA102/08/0567 GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 CEZ AV0Z1075907 - UTIA-B EID SCOPUS 84885609056 DOI 10.1007/978-3-642-24647-0 Annotation Prescriptive Bayesian decision making has reached its maturity and is supported by efficient, theoretically well-founded algorithms. 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. Such societies have been investigated from an economic and game-theoretic perspective but little work has been done from the perspective of computer science, machine learning, information theory and neuroscience. The workshop Decision Making with Multiple Imperfect Decision Makers, held after the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010) was a step in bringing such alternative viewpoints to bear on the topic of understanding societies of imperfect decision makers. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2013
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