Add to ORKGAbstract. In this paper we present a novel methodology to compute stable models in Answer Set Programming. The process is performed with a bottom-up approach that does not require the preprocessing of the typical grounding phase. The implementation is completely in Prolog and Constraint Logic Programming over finite domains. The code is very simple and can be used for didactic purposes.
AbstractThe concept of a stable model provided a declarative semantics for Prolog programs with nega...
Model generation theorem provers have the capability of producing a model when the first-order input...
Answer set programming (ASP) is a well-established declarative paradigm. One of the successes of ASP...
Abstract. In this paper we present a novel methodology to compute stable models in Answer Set Progra...
The paper describes a novel methodology to compute stable models in Answer Set Programming. The prop...
In recent years, Answer Set Programming has gained popularity as a viable paradigm for applications ...
The paper describes a novel methodology to compute stable models in Answer Set Programming. The pro...
In recent years, Answer Set Programming has gained popularity as a viable paradigm for applications ...
Answer set programming is a declarative problem solving paradigm that rests upon a workflow involvin...
Finding satisfying assignments for the variables involved in a set of constraints can be cast as a (...
Extending Datalog/ASP with constraints (CASP) enhances its expressiveness and performance but it is ...
Answer Set Programming is a widely known knowledge representation framework based on the logic progr...
Answer Set Programming (ASP) is a very convenient paradigmto represent knowledge in Artificial Intel...
Abstract. Answer set programming (ASP) is a declarative programming paradigm stemming from logic pro...
Ground-and-solve methods used in state-of-the-art Answer Set Programming and model expansion systems...
AbstractThe concept of a stable model provided a declarative semantics for Prolog programs with nega...
Model generation theorem provers have the capability of producing a model when the first-order input...
Answer set programming (ASP) is a well-established declarative paradigm. One of the successes of ASP...
Abstract. In this paper we present a novel methodology to compute stable models in Answer Set Progra...
The paper describes a novel methodology to compute stable models in Answer Set Programming. The prop...
In recent years, Answer Set Programming has gained popularity as a viable paradigm for applications ...
The paper describes a novel methodology to compute stable models in Answer Set Programming. The pro...
In recent years, Answer Set Programming has gained popularity as a viable paradigm for applications ...
Answer set programming is a declarative problem solving paradigm that rests upon a workflow involvin...
Finding satisfying assignments for the variables involved in a set of constraints can be cast as a (...
Extending Datalog/ASP with constraints (CASP) enhances its expressiveness and performance but it is ...
Answer Set Programming is a widely known knowledge representation framework based on the logic progr...
Answer Set Programming (ASP) is a very convenient paradigmto represent knowledge in Artificial Intel...
Abstract. Answer set programming (ASP) is a declarative programming paradigm stemming from logic pro...
Ground-and-solve methods used in state-of-the-art Answer Set Programming and model expansion systems...
AbstractThe concept of a stable model provided a declarative semantics for Prolog programs with nega...
Model generation theorem provers have the capability of producing a model when the first-order input...
Answer set programming (ASP) is a well-established declarative paradigm. One of the successes of ASP...