Proceedings:
Interactive and Mixed-Initiative Decision-Theoretic Systems
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Papers from the 1998 AAAI Spring Symposium
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Abstract:
We present theoretical foundations and computational procedures of a theory for analysing decisions under risk when the available information is vague and imprecise. The impreciseness is expressed by a set of global distributions T over a space S, where the latter represents the classes of all probability and utility measures over a set of discrete outcomes. We show how local distributions, i.e. distributions over projections of S on various subspaces of S, can be derived from T and investigate in which extent user-asserted local distributions can be used for defining T. We also study invariants under local projections. The approach allows a decision maker to be as deliberately imprecise as she feels natural, as well as provides her with the means for expressing varying degrees of imprecision in the input sentences.
Spring
Papers from the 1998 AAAI Spring Symposium