Satisficing Games and Decision Making: With Applications to Engineering and Computer Science

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In our day-to day-lives we constantly make decisions that are simply "good enough" rather than optimal. This may be to save time and trouble, or, for example, to avoid conflict with colleagues. Most computer-based decision-making algorithms, on the other hand, doggedly seek the optimal solution based on rigid criteria and reject any others. In this book, Professor Wynn Stirling outlines an alternative approach, using novel algorithms and techniques to model more closely the way humans make decisions. Building on traditional decision and game theory, these techniques allow decision-making systems to cope with more subtle situations where self and group interest conflict, perfect solutions can't be found, and human issues need to be taken into account - in short, more closely modeling the way humans make decisions. The book will therefore be of great interest to engineers, computer scientists, and mathematicians working on artificial intelligence and expert systems.
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Product Details

  • ISBN-13: 9780521038911
  • Publisher: Cambridge University Press
  • Publication date: 8/18/2007
  • Pages: 268
  • Product dimensions: 6.85 (w) x 9.72 (h) x 0.55 (d)

Meet the Author

Wynn Stirling is a Professor of Electrical and Computer Engineering at Brigham Young University, where he teaches stochastic processes, control theory and signal processing.
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Table of Contents

List of figures
List of tables
1 Rationality 1
2 Locality 29
3 Praxeology 45
4 Equanimity 73
5 Uncertainty 89
6 Community 117
7 Congruency 143
8 Complexity 169
9 Meliority 205
App. A Bounded Rationality 215
App. B Game Theory Basics 219
App. C Probability Theory Basics 223
App. D A Logical Basis for Praxeic Reasoning 229
Bibliography 235
Name index 245
Subject index 247
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