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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