2000 character limit reached
A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs (1301.3858v1)
Published 16 Jan 2013 in cs.AI
Abstract: In this paper, we formulate a qualitative "linear" utility theory for lotteries in which uncertainty is expressed qualitatively using a Spohnian disbelief function. We argue that a rational decision maker facing an uncertain decision problem in which the uncertainty is expressed qualitatively should behave so as to maximize "qualitative expected utility." Our axiomatization of the qualitative utility is similar to the axiomatization developed by von Neumann and Morgenstern for probabilistic lotteries. We compare our results with other recent results in qualitative decision making.