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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2013, 2013
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| Edition: | 1st ed. 2013 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| 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