Overview
- Why and how can imperfection be coped with in real life
- Proposes possible ways to approaches suitable to addressing design of decision strategies for and by imperfect designers and decision makers
- Edited outcome of best contributions to a NIPS’2010 workshop: “Decision Making with Imperfect Decision Makers”
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 28)
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About this book
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.
Some of the particular topics addressed include: How should we formalise rational decision making of a single imperfect decision maker? Does the answer change for a system of imperfect decision makers? Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones? How can we exploit the relation of these problems to the control under varying and uncertain resources constraints as well as to the problem of the computational decision making? What can we learn from natural, engineered, and social systems to help us address these issues?
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Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Decision Making with Imperfect Decision Makers
Editors: Tatiana Valentine Guy, Miroslav Kárný, David H. Wolpert
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-24647-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-24646-3Published: 05 November 2011
Softcover ISBN: 978-3-662-50700-1Published: 23 August 2016
eBook ISBN: 978-3-642-24647-0Published: 13 November 2011
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 195