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2004
Springer

Expressive Power and Succinctness of Propositional Languages for Preference Representation

9 years 1 months ago
Expressive Power and Succinctness of Propositional Languages for Preference Representation
Several logical languages have been considered in AI for encoding compactly preference relations over a set of alternatives. In this paper, we analyze both the expressiveness and the spatial efficiency (succinctness) of such preference representation languages. The first issue is concerned with the nature of the preorders that can be encoded (for instance, all preorders, all complete preorders). The second issue is about how succinctly a preference relation can be expressed in those languages. We give polynomial-size translations in some cases, and prove the impossibility of such translations in other cases.
Sylvie Coste-Marquis, Jérôme Lang, Pa
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where KR
Authors Sylvie Coste-Marquis, Jérôme Lang, Paolo Liberatore, Pierre Marquis
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