Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances

Front Cover
Oxford University Press, Sep 16, 2004 - Education - 278 pages
0 Reviews
Within traditional decision theory, common decision principles -- e.g. the principle to maximize utility -- generally invoke idealization; they govern ideal agents in ideal circumstances. In Realistic Decision Theory, Paul Weirch adds practicality to decision theory by formulating principles applying to nonideal agents in nonideal circumstances, such as real people coping with complex decisions. Bridging the gap between normative demands and psychological resources, Realistic Decision Theory is essential reading for theorists seeking precise normative decision principles that acknowledge the limits and difficulties of human decision-making.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

2 Optimizing and Its Offspring
15
3 Idealizations
31
Resources
58
Cognitive Limitations
86
Mistakes
103
7 Acceptabilitys Consequences
124
8 Realism about Situations
142
9 Applications to Game Theory
165
10 Ideal to Real
190
Optimization and Utility Maximization
193
Consistency of Calculations of Utilities
213
Notes
221
Glossary
247
References
251
Index
261
Copyright

Other editions - View all

Common terms and phrases

References to this book

Bibliographic information