Readings in uncertain reasoning
A symmetric view of utilities and probabilities
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Graphical models for preference and utility
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Qualitative decision making in adaptive presentation of structured information
ACM Transactions on Information Systems (TOIS)
Journal of Artificial Intelligence Research
Exercising qualitative control in autonomous adaptive survivable systems
IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
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We introduce a new interpretation of two related notions - conditional utility and utility independence. Unlike the traditional interpretation, the new interpretation render the notions the direct analogues of their probabilistic counterparts. To capture these notions formally, we appeal to the notion of utility distribution, introduced in previous paper. We show that utility distributions, which have a structure that is identical to that of probability distributions, can be viewed as a special case of an additive multiattribute utility functions, and show how this special case permits us to capture the novel senses of conditional utility and utility independence. Finally, we present the notion of utility networks, which do for utilities what Bayesian networks do for probabilities. Specifically, utility networks exploit the new interpretation of conditional utility and utility independence to compactly represent a utility distribution.