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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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Corporate Author: SpringerLink (Online service)
Other Authors: Guy, Tatiana V. (Editor, http://id.loc.gov/vocabulary/relators/edt), Karny, Miroslav. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wolpert, David. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Studies in Computational Intelligence, 474
Subjects:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-642-36406-8
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.

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