Decision Making and Imperfection

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 art...

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Bibliographic Details
Other Authors: Guy, Tatiana V. (Editor), Karny, Miroslav (Editor), Wolpert, David (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013, 2013
Edition:1st ed. 2013
Series:Studies in Computational Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Dynamic Bayesian Combination of Multiple Imperfect Classifiers
  • Distributed Decision Making by Categorically-Thinking Agents
  • Automated Preference Elicitation for Decision Making
  • Counter-Factual Reinforcement Learning: How To Model Decision-Makers that Anticipate the Future
  • Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making
  • An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent