Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and qualitative preferences among the stable models of a logic pro-gram. In this paper, we demonstrate the generality and flexibility of the method-ology by showing how easily existing preference relations can be implemented in asprin. Moreover, we show how the computation of optimal stable models can be improved by using declarative heuristics. We empirically evaluate our contri-butions and contrast them with dedicated implementations. Finally, we detail key aspects of asprin’s implementation.
AbstractPreference logic programming (PLP) is an extension of logic programming for declaratively sp...
Several logical languages have been considered in AI for en-coding compactly preference relations ov...
Preference logic programming (PLP) is an extension of constraint logic programming (CLP) for declara...
Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and q...
Abstract. In this paper we introduce asprin1, a general, flexible, and extensible framework for hand...
In this paper we describe asprin, a general, flexible, and extensible framework for handling prefere...
We introduce a comprehensive framework for computing diverse (or similar) solutions to logic program...
Preference logics and AI preference representation languages are both concerned with reasoning about...
International audienceThis paper proposes a first comparative study of the expressive power of two a...
The main contribution of this paper is the definition of the preference description language PDL. Th...
This paper builds on the recent ASPIC+ formalism, to develop a general framework for argumentation w...
AbstractThis paper builds on the recent ASPIC+ formalism, to develop a general framework for argumen...
Several logical languages have been studied in AI for encoding compactly preference relations over a...
International audienceThis paper proposes a first comparative study of the expressive power of two a...
International audienceThis paper proposes a first comparative study of the expressive power of two a...
AbstractPreference logic programming (PLP) is an extension of logic programming for declaratively sp...
Several logical languages have been considered in AI for en-coding compactly preference relations ov...
Preference logic programming (PLP) is an extension of constraint logic programming (CLP) for declara...
Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and q...
Abstract. In this paper we introduce asprin1, a general, flexible, and extensible framework for hand...
In this paper we describe asprin, a general, flexible, and extensible framework for handling prefere...
We introduce a comprehensive framework for computing diverse (or similar) solutions to logic program...
Preference logics and AI preference representation languages are both concerned with reasoning about...
International audienceThis paper proposes a first comparative study of the expressive power of two a...
The main contribution of this paper is the definition of the preference description language PDL. Th...
This paper builds on the recent ASPIC+ formalism, to develop a general framework for argumentation w...
AbstractThis paper builds on the recent ASPIC+ formalism, to develop a general framework for argumen...
Several logical languages have been studied in AI for encoding compactly preference relations over a...
International audienceThis paper proposes a first comparative study of the expressive power of two a...
International audienceThis paper proposes a first comparative study of the expressive power of two a...
AbstractPreference logic programming (PLP) is an extension of logic programming for declaratively sp...
Several logical languages have been considered in AI for en-coding compactly preference relations ov...
Preference logic programming (PLP) is an extension of constraint logic programming (CLP) for declara...