Currently, the variety of expressive extensions and different semantics created for logic programs with negation is diverse and heterogeneous, and there is a lack of comprehensive comparative studies which map out the multitude of perspectives in a uniform way. Most recently, however, new methodologies have been proposed which allow one to derive uniform characterizations of different declarative semantics for logic programs with negation. In this paper, we study the relationship between two of these approaches, namely the level mapping characterizations due to [17], and the selector generated models due to [24]. We will show that the latter can be captured by means of the former, thereby supporting the claim that level mappings provide a v...
Abstract. In the literature, there are several approaches which try to perform common sense rea-soni...
The question how knowledge can be represented by means of logic programs with negation has been a dr...
While the stable model semantics, in the form of Answer Set Programming, has become a successful sem...
Assigning semantics to logic programs via selector generated models (Schwarz 2002/2003) extends seve...
Abstract. While the stable model semantics, in the form of Answer Set Programming, has become a succ...
The focus of the research is the semantics of logic programming. Concepts in the currently used sem...
One of the most important and difficult problems in logic programming is the problem of finding a su...
A new methodology has been proposed which allows one to derive uniform characterizations of differen...
AbstractWe define a semantics for negation as failure in logic programming. Our semantics may be vie...
We develop an extensional semantics for higher-order logic programs withnegation, generalizing the t...
The variety of semantical approaches that have been invented for logic programs is quite broad, draw...
AbstractWe survey here various approaches which were proposed to incorporate negation in logic progr...
AbstractThe default approach to the theory of logic programs (and deductive databases) is based on t...
In this paper, by considering the idea that argumentation semantics can be viewed as a special form ...
This paper looks at logic programming with three kinds of negation: default, weak and strict negatio...
Abstract. In the literature, there are several approaches which try to perform common sense rea-soni...
The question how knowledge can be represented by means of logic programs with negation has been a dr...
While the stable model semantics, in the form of Answer Set Programming, has become a successful sem...
Assigning semantics to logic programs via selector generated models (Schwarz 2002/2003) extends seve...
Abstract. While the stable model semantics, in the form of Answer Set Programming, has become a succ...
The focus of the research is the semantics of logic programming. Concepts in the currently used sem...
One of the most important and difficult problems in logic programming is the problem of finding a su...
A new methodology has been proposed which allows one to derive uniform characterizations of differen...
AbstractWe define a semantics for negation as failure in logic programming. Our semantics may be vie...
We develop an extensional semantics for higher-order logic programs withnegation, generalizing the t...
The variety of semantical approaches that have been invented for logic programs is quite broad, draw...
AbstractWe survey here various approaches which were proposed to incorporate negation in logic progr...
AbstractThe default approach to the theory of logic programs (and deductive databases) is based on t...
In this paper, by considering the idea that argumentation semantics can be viewed as a special form ...
This paper looks at logic programming with three kinds of negation: default, weak and strict negatio...
Abstract. In the literature, there are several approaches which try to perform common sense rea-soni...
The question how knowledge can be represented by means of logic programs with negation has been a dr...
While the stable model semantics, in the form of Answer Set Programming, has become a successful sem...