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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.
This book investigates how normative decision principles can be adapted to govern nonideal agents operating within nonideal, real-world circumstances. Paul Weirich, a philosopher specializing in decision theory, bridges the divide between abstract utility maximization and the practical constraints of human psychology. By formulating principles that account for cognitive limitations and environmental complexity, the author provides a framework for rational choice that remains applicable to actual human decision-making processes.
What You Will Find
Scope Limits
Experts recognize this work as a significant contribution to the formalization of realistic normative standards in decision theory. Readers frequently note the academic density of the prose, which is intended for scholars and advanced students of philosophy and logic.
Page Count:
277
Publication Date:
2004-01-01
Publisher:
Oxford University Press
ISBN-10:
0190291117
ISBN-13:
9780190291112
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