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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 [Hardcover]

Paul Weirich (Author)

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Book Description

September 16, 2004
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.

Editorial Reviews

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"The book is admirably clear and full of stimulating suggestions. Anyone interested in the subject should read it...Weirich makes some extremely helpful points about the description of the nonideal situation..."-- Notre Dame Philosophical Reviews


About the Author

Paul Weirich is at University of Missouri-Columbia.

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Inside This Book (learn more)
First Sentence:
When traveling on an airplane, have you ever discovered that the passenger next to you paid a fare lower than yours? Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint deliberational equilibrium, intrinsic utility analysis, ratifiable options, rational ideal agents, basic intrinsic attitudes, realistic decision theory, basic intrinsic desires, idealization that agents, noncomprehensive standards, ratifiable strategies, option maximizes utility, nonrelative equilibrium, nonideal agents, nonquantitative cases, pursued incentives, admissible probability values, nonrelative solution, utility maximization with respect, corrigible mistakes, analysis using estimates, gamble that pays, indicative supposition, unlimited cognitive power, expected utility analysis, expected utility analyses
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Newcomb's Problem, Matching Pennies
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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