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

Paul Weirich

Abstract

Decision theory aims at a general account of rationality covering humans but to begin makes idealizations about decision problems and agents' resources and circumstances. It treats inerrant agents with unlimited cognitive power facing tractable decision problems. This book systematically rolls back idealizations and without loss of precision treats errant agents with limited cognitive abilities facing decision problems without a stable top option. It recommends choices that maximize utility using quantizations of beliefs and desires in cases where probabilities and utilities are indeterminate ... More

Keywords: bounded rationality, choice, decision, decision theory, game theory, idealization, probability, rationality, realism, utility

Bibliographic Information

Print publication date: 2004 Print ISBN-13: 9780195171259
Published to Oxford Scholarship Online: November 2004 DOI:10.1093/019517125X.001.0001

Authors

Affiliations are at time of print publication.

Paul Weirich, author
University of Missouri-Columbia
Author Webpage

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