Abstract
Decision analysis is the leading candidate for deciding among competing actions and conflicting goals in uncertain worlds. It is normally thought to require probabilities, utilities, and a set of alternative courses of action. Presumably, work on evidential reasoning will deliver probabilities suitable for AI’s use, and planning has already discovered various ways of representing and composing sequences of primitive actions. This leaves the specification of utilities of outcome states.
Presumably, in the long run decision theory will be integrated with . . .planners. Before that happens, how probability and utility estimates are arrived at in realistic circumstances will have to be solved.
—Charniak and McDermott, Introduction to AI [Charniak&McDermott84]
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© 1990 Kluwer Academic Publishers
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Loui, R. (1990). Defeasible Specification of Utilities. In: Kyburg, H.E., Loui, R.P., Carlson, G.N. (eds) Knowledge Representation and Defeasible Reasoning. Studies in Cognitive Systems, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0553-5_14
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DOI: https://doi.org/10.1007/978-94-009-0553-5_14
Publisher Name: Springer, Dordrecht
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