Efficient Utility Functions for Ceteris Paribus Preferences

Michael McGeachie, Massachusetts Institute of Technology; Jon Doyle, North Carolina State University

Ceteris paribus (other things being equal) preference provides a convenient means for stating constraints on numeric utility functions, but direct constructions of numerical utility representations from such statements have exponential worst-case cost. This paper describes more efficient constructions that combine analysis of utility independence with constraint-based search.

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