Studies in Computational Intelligence

Decision Making and Imperfection

Editors: Guy, Tatiana, Karny, Miroslav, Wolpert, David (Eds.)

  • 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
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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.

 

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:

 

·          how a crowd of imperfect decision makers outperforms experts' decisions;

 

·          how to decrease decision makers' imperfection by reducing knowledge available;

 

·          how to decrease imperfection via automated elicitation of DM preferences;

 

·          a human's limited willingness to master the available decision-support tools as an additional source of imperfection;

 

·          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.

 

The book will appeal to anyone interested in the challenging topic of DM theory and its applications.

Table of contents (6 chapters)

  • Dynamic Bayesian Combination of Multiple Imperfect Classifiers

    Simpson, Edwin (et al.)

    Pages 1-35

  • Distributed Decision Making by Categorically-Thinking Agents

    Rhim, Joong Bum (et al.)

    Pages 37-63

  • Automated Preference Elicitation for Decision Making

    Kárný, Miroslav

    Pages 65-99

  • Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future

    Lee, Ritchie (et al.)

    Pages 101-128

  • Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making

    Fiori, Marina (et al.)

    Pages 129-161

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-3-642-36406-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-3-642-36405-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Decision Making and Imperfection
Editors
  • Tatiana Guy
  • Miroslav Karny
  • David Wolpert
Series Title
Studies in Computational Intelligence
Series Volume
474
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-36406-8
DOI
10.1007/978-3-642-36406-8
Hardcover ISBN
978-3-642-36405-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XV, 187
Number of Illustrations and Tables
48 b/w illustrations, 24 illustrations in colour
Topics