Communicating answer set programming is a framework to represent and reason about the combined knowledge of multiple agents using the idea of stable models. The semantics and expre...
Kim Bauters, Steven Schockaert, Dirk Vermeir, Mart...
The concept of a stable model provided a declarative semantics for Prolog programs with negation as failure and became a starting point for the development of answer set programmi...
In this paper we reexamine the place and role of stable model semantics in logic programming and contrast it with a least Herbrand model approach to Horn programs. We demonstrate ...
Abstract. We study algorithms for computing stable models of propositional logic programs and derive estimates on their worst-case performance that are asymptotically better than t...
In this paper we analyze the relationship between cyclic definitions and consistency in GelfondLifschitz's answer sets semantics (initially defined as `stable model semantics...
It is well-known that stable models (as dI-domains, qualitative domains and coherence are not fully abstract for the language PCF. This fact is related to the existence of stable ...
The theorem on loop formulas due to Fangzhen Lin and Yuting Zhao shows how to turn a logic program into a propositional formula that describes the program's stable models. In...
The paper studies the relationship between logic programs with the stable model semantics and difference logic recently considered in the Satisfiability Modulo Theories framework....
Stable models of logic programs have been studied by many researchers, mainly because of their role in the foundations of answer set programming. This is a review of some of the de...
An algorithm is described which computes stable models of propositional logic programs with negation as failure using the Assumption Based Truth Maintenance mechanism. Since stabl...