Decision Making with Imperfect Decision Makers

  • Tatiana Valentine Guy
  • Miroslav Kárný
  • David H. Wolpert

Part of the Intelligent Systems Reference Library book series (ISRL, volume 28)

Table of contents

  1. Front Matter
  2. Miroslav Kárný, Tatiana V. Guy
    Pages 29-56
  3. Jonathan Rubin, Ohad Shamir, Naftali Tishby
    Pages 57-74
  4. Katsuhide Fujita, Takayuki Ito, Mark Klein
    Pages 113-133
  5. Yu-Han Chang, Tomer Levinboim, Rajiv Maheswaran
    Pages 135-158
  6. Alessandro E. P. Villa, Pascal Missonnier, Alessandra Lintas
    Pages 159-194
  7. Back Matter

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?


Decision Making Imperfect Decision Makers Intelligent Systems

Editors and affiliations

  • Tatiana Valentine Guy
    • 1
  • Miroslav Kárný
    • 2
  • David H. Wolpert
    • 3
  1. 1.Department of Adaptive SystemsInstitute of Information Theory and Automation of the ASCRPraha 8Czech Republic
  2. 2.Institute of Information Theory and Automation of the ASCRPraha 8Czech Republic
  3. 3.Intelligent Systems Division Ames Research CenterNASAMoffett FieldUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-24646-3
  • Online ISBN 978-3-642-24647-0
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site