Overview
- Latest research on Decision Making and Imperfection
- Results of the a workshop Decision Making with Multiple Imperfect Decision Maker shield in conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011) December 16-17, 2011, Sierra Nevada, Spain
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 474)
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Table of contents (6 chapters)
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Front Matter
Keywords
About this book
Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process.
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The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider:
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·         how a crowd of imperfect decision makers outperforms experts' decisions;
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·         how to decrease decision makers' imperfection by reducing knowledge available;
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·         how to decrease imperfection via automated elicitation of DM preferences;
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·         a human's limited willingness to master the available decision-support tools as an additional source of imperfection;
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·         how the decision maker's emotional state influences the rationality;  a DM support of edutainment robot based on its system of values and respecting emotions.
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The book will appeal to anyone interested in the challenging topic of DM theory and its applications.
Editors and Affiliations
Bibliographic Information
Book Title: Decision Making and Imperfection
Editors: Tatiana V. Guy, Miroslav Karny, David Wolpert
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-36406-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-36405-1Published: 02 February 2013
Softcover ISBN: 978-3-642-44638-2Published: 07 March 2015
eBook ISBN: 978-3-642-36406-8Published: 01 February 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XV, 187
Number of Illustrations: 48 b/w illustrations, 24 illustrations in colour
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