Y Engel and MP Wellman

Journal of Artificial Intelligence Research, 31:83–112, 2008.
Copyright © 2008 AI Access Foundation.


We introduce CUI networks, a compact graphical representation of utility functions over multiple attributes. CUI networks model multiattribute utility functions using the well-studied and widely applicable utility independence concept. We show how conditional utility independence leads to an effective functional decomposition that can be exhibited graphically, and how local, compact data at the graph nodes can be used to calculate joint utility. We discuss aspects of elicitation, network construction, and optimization, and contrast our new representation with previous graphical preference modeling.

Previous versions of this work were presented at

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