Uncertainty in Artificial Intelligence
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Introducing Variable Importance Tradeoffs into CP-Nets
Ronen Brafman, Carmel Domshlak
Abstract:
The ability to make decisions and to assess potential courses of action is a corner-stone of many AI applications, and usually this requires explicit information about the decision-maker s preferences. IN many applications, preference elicitation IS a serious bottleneck.The USER either does NOT have the time, the knowledge, OR the expert support required TO specify complex multi - attribute utility functions. IN such cases, a method that IS based ON intuitive, yet expressive, preference statements IS required. IN this paper we suggest the USE OF TCP - nets, an enhancement OF CP - nets, AS a tool FOR representing, AND reasoning about qualitative preference statements.We present AND motivate this framework, define its semantics, AND show how it can be used TO perform constrained optimization.
Keywords:
Pages: 69-76
PS Link:
PDF Link: /papers/02/p69-brafman.pdf
BibTex:
@INPROCEEDINGS{Brafman02,
AUTHOR = "Ronen Brafman and Carmel Domshlak",
TITLE = "Introducing Variable Importance Tradeoffs into CP-Nets",
BOOKTITLE = "Proceedings of the Eighteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-02)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "2002",
PAGES = "69--76"
}


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