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Synopsis
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.
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About the Author
Paul Weirich is at University of Missouri-Columbia.
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Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances
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Oxford University Press, 2004
ISBN 10: 019517125X
ISBN 13: 9780195171259
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Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances
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ISBN 13: 9780195171259
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Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances
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realistic decision theory. rules for nonideal agents in nonideal circumstances.
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ISBN 10: 019517125X
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