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Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances PDF

278 Pages·2004·2.812 MB·English
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by Paul Weirich| 2004| 278 pages| 2.812| English

About Realistic Decision Theory: Rules for Nonideal Agents in Nonideal Circumstances

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.

Detailed Information

Author:Paul Weirich
Publication Year:2004
ISBN:9780195171259
Pages:278
Language:English
File Size:2.812
Format:PDF
Price:FREE
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