Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances

Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances

by Paul Weirich, Bernard Gert
     
 

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

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Overview

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.

Product Details

ISBN-13:
9780195171259
Publisher:
Oxford University Press
Publication date:
09/16/2004
Pages:
278
Product dimensions:
9.40(w) x 6.30(h) x 0.90(d)

Meet the Author

Table of Contents

1Realistic standards for decisions3
2Optimizing and its offspring15
3Idealizations31
4Realism about agents : resources58
5Realism about agents : cognitive limitations86
6Realism about agents : mistakes103
7Acceptability's consequences124
8Realism about situations142
9Applications to game theory165
10Ideal to real190
App. AOptimization and utility maximization193
App. BConsistency of calculations of utilities213

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