Complex Preferences for Answer Set Optimization

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Complex Preferences for Answer Set Optimization
The main contribution of this paper is the definition of the preference description language  ¡¢ . This language allows us to combine qualitative and quantitative, penalty based preferences in a flexible way. This makes it possible to express complex preferences which are needed in many realistic optimization settings. We show that several preference handling methods described in the literature are special cases of our approach. We also demonstrate that  ¡¢ expressions can be compiled to logic programs which can be used as tester programs in a generate-and-improve method for finding optimal answer sets.
Gerhard Brewka
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where KR
Authors Gerhard Brewka
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