Decision Making and Imperfection

• Corporate Author: SpringerLink (Online service)
• Other Authors: Guy, Tatiana V. (Editor), Karny, Miroslav. (Editor), Wolpert, David. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 474
• Subjects: Engineering.; Artificial intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-36406-8

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...

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.