An agent often does not have precise probabilities or utilities to guide resolution of a decision problem. I advance a principle of rationality for making decisions in such cases. To begin, I represent the doxastic and conative state of an agent with a set of pairs of a probability assignment and a utility assignment. Then I support a decision principle that allows any act that maximizes expected utility according to some pair of assignments in the set. Assuming that computation of an option's expected utility uses comprehensive possible outcomes that include the option's risk, no consideration supports a stricter requirement.
To make decision theory realistic, I show how to choose rationally when possible outcomes have imprecise probabilities and utilities.Book InformationISBN 9781108713504
Author Paul WeirichFormat Paperback
Page Count 75
Imprint Cambridge University PressPublisher Cambridge University Press
Weight(grams) 140g
Dimensions(mm) 150mm * 230mm * 5mm