In this paper we describe asprin, a general, flexible, and extensible framework for handling preferences among the stable models of a logic program. We show how complex preference relations can be specified through user-defined preference types and their arguments. We describe how preference specifications are handled internally by so-called preference programs, which are used for dominance testing. We also give algorithms for computing one, or all, optimal stable models of a logic program. Notably, our algorithms depend on the complexity of the dominance tests and make use of multi-shot answer set solving technology
Automated decision making often requires solving difficult (e.g., NP-hard) problems. In many AI appl...
International audienceAbstract Answer Set Programming (ASP) is a well-known declarative problem solv...
Abstract. Answer Set Programming (ASP; [1,2,3,4]) is a declarative problem solving approach, combini...
In this paper we describe asprin1, a general, flexible, and ex-tensible framework for handling prefe...
Abstract. In this paper we introduce asprin1, a general, flexible, and extensible framework for hand...
Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and q...
Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and q...
We introduce a comprehensive framework for computing diverse (or similar) solutions to logic program...
The problem of computing similar and dissimilar solutions to a given one has received much attention...
The main contribution of this paper is the definition of the preference description language PDL. Th...
Answer Set Programming (ASP) is a form of declarative programming oriented towards difficult and pri...
This work discusses two new extensions of Answer Set Programming (ASP) and a new computational metho...
Most recently, Answer Set Programming (ASP) has been attracting interest as a new paradigm for probl...
AbstractIn this paper, we address the issue of how Gelfond and Lifschitz's answer set semantics for ...
. In this paper, we address the issue of how Gelfond and Lifschitz's answer set semantics for e...
Automated decision making often requires solving difficult (e.g., NP-hard) problems. In many AI appl...
International audienceAbstract Answer Set Programming (ASP) is a well-known declarative problem solv...
Abstract. Answer Set Programming (ASP; [1,2,3,4]) is a declarative problem solving approach, combini...
In this paper we describe asprin1, a general, flexible, and ex-tensible framework for handling prefe...
Abstract. In this paper we introduce asprin1, a general, flexible, and extensible framework for hand...
Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and q...
Abstract. asprin offers a framework for expressing and evaluating combinations of quantitative and q...
We introduce a comprehensive framework for computing diverse (or similar) solutions to logic program...
The problem of computing similar and dissimilar solutions to a given one has received much attention...
The main contribution of this paper is the definition of the preference description language PDL. Th...
Answer Set Programming (ASP) is a form of declarative programming oriented towards difficult and pri...
This work discusses two new extensions of Answer Set Programming (ASP) and a new computational metho...
Most recently, Answer Set Programming (ASP) has been attracting interest as a new paradigm for probl...
AbstractIn this paper, we address the issue of how Gelfond and Lifschitz's answer set semantics for ...
. In this paper, we address the issue of how Gelfond and Lifschitz's answer set semantics for e...
Automated decision making often requires solving difficult (e.g., NP-hard) problems. In many AI appl...
International audienceAbstract Answer Set Programming (ASP) is a well-known declarative problem solv...
Abstract. Answer Set Programming (ASP; [1,2,3,4]) is a declarative problem solving approach, combini...