Logic programs under Answer Sets semantics can be studied, and actual computation can be carried out, by means of representing them by directed graphs. Several reductions of logic programs to directed graphs are now available. We compare our proposed representation, called Extended Dependency Graph, to the Block Graph representation recently defined by Linke [Proc. IJCAI-2001, 2001, pp. 641–648]. On the relevant fragment of well-founded irreducible programs, extended dependency and block graph turns out to be isomorphic. So, we argue that graph representation of general logic programs should be abandoned in favor of graph representation of well-founded irreducible programs, which are more concise, more uniform in structure while being equal...
We have designed a new logic programming language called LM (Linear Meld) for program-ming graph-bas...
We have designed a new logic programming language called LM (Linear Meld) for programming graph-base...
There has recently been a lot of interest in learning from graphs. Most approaches to this problem u...
In this paper we present a graph representation of logic programs and default theories. We show that...
AbstractIn this paper we present a graph representation of logic programs and default theories. We s...
Logic Programming and (Hyper-)Graph Rewriting are two well known fields of Computer Science. In this...
In this work we propose a multi-valued extension of logic programs under the stable models semantics...
In this work we propose a multi-valued extension of logic programs under the stable models semantics...
Kowalski's connection graph method provides a representation for logic programs which allows for the...
We show how edge-labelled graphs can be used to represent first-order logic formulae. This gives ris...
The completion of a program introduced by Clark is important for giving a declarative semantics to t...
The notions of loops and loop formulas play an important role in answer set computation. However, th...
International audienceThe main objective of this paper is to add one more brick in building the CG m...
This paper describes a method for deriving logic programs from observations that can be made of the ...
AbstractThe completion of a program introduced by Clark is important for giving a declarative semant...
We have designed a new logic programming language called LM (Linear Meld) for program-ming graph-bas...
We have designed a new logic programming language called LM (Linear Meld) for programming graph-base...
There has recently been a lot of interest in learning from graphs. Most approaches to this problem u...
In this paper we present a graph representation of logic programs and default theories. We show that...
AbstractIn this paper we present a graph representation of logic programs and default theories. We s...
Logic Programming and (Hyper-)Graph Rewriting are two well known fields of Computer Science. In this...
In this work we propose a multi-valued extension of logic programs under the stable models semantics...
In this work we propose a multi-valued extension of logic programs under the stable models semantics...
Kowalski's connection graph method provides a representation for logic programs which allows for the...
We show how edge-labelled graphs can be used to represent first-order logic formulae. This gives ris...
The completion of a program introduced by Clark is important for giving a declarative semantics to t...
The notions of loops and loop formulas play an important role in answer set computation. However, th...
International audienceThe main objective of this paper is to add one more brick in building the CG m...
This paper describes a method for deriving logic programs from observations that can be made of the ...
AbstractThe completion of a program introduced by Clark is important for giving a declarative semant...
We have designed a new logic programming language called LM (Linear Meld) for program-ming graph-bas...
We have designed a new logic programming language called LM (Linear Meld) for programming graph-base...
There has recently been a lot of interest in learning from graphs. Most approaches to this problem u...