Stable model semantics information

The concept of a stable model, or answer set, is used to define a declarative semantics for logic programs with negation as failure. This is one of several...

the game. The stable model semantics define a condition for calling certain Herbrand models of a program stable. Intuitively, stable models are the "possible...

the semantics of disjunctive Datalog: Minimal model semantics Perfect model semantics Disjunctive stable model semantics, which generalizes the stable model...

is based on the stable model (answer set) semantics of logic programming. In ASP, search problems are reduced to computing stable models, and answer set...

knowledge and lack of knowledge about facts. The stable model semantics, which is used to give a semantics to logic programming with negation as failure...

alternative stable model semantics, there may be no intended models or several intended models, all of which are minimal and two-valued. The stable model semantics...

Lifschitz: The Stable Model Semantics for Logic Programming. ICLP/SLP 1988: 1070-1080 Victor Marek and Miroslaw Truszczynski. Stable models and an alternative...

ISBN 978-0-934613-42-2. Gelfond, M.; Lifschitz, V. (1988). "The Stable Model Semantics for Logic Programming". In Kowalski, R.; Bowen, K. (eds.). Proc...

have no impact on the semantics of the program. There are three widely-used approaches to the semantics of Datalog programs: model-theoretic, fixed-point...

only if P is true in M. The minimal model semantics of Horn clauses is the basis for the stable model semantics of logic programs. Propositional calculus...

which may use negation but have no recursive dependencies. The stable model semantics underlying answer set programming gives meaning to unstratified...

is, declarative logic programming based on the answer set semantics (stable model semantics). Example: Document( Prefix(ex <http://example.com/concepts#>)...

Lifschitz: The Stable Model Semantics for Logic Programming. ICLP/SLP 1988: 1070-1080 Victor Marek and Miroslaw Truszczynski. Stable models and an alternative...

information model in software engineering is a representation of concepts and the relationships, constraints, rules, and operations to specify data semantics for...

Semantics is the study of linguistic meaning. It examines what meaning is, how words get their meaning, and how the meaning of a complex expression depends...

systems in the actor model. These include: Operational semantics Laws for actor systems Denotational semantics Transition semantics There are also formalisms...

algebraic semantics, and operational semantics. The three major denotational models of CSP are the traces model, the stable failures model, and the failures/divergences...

Action semantics is a framework for the formal specification of semantics of programming languages invented by David Watt and Peter D. Mosses in the 1990s...

to simulate abduction in ALP using negation as failure with the stable model semantics. This can be done by adding, for every abducible predicate p, an...

uses Heyting algebras in place of Boolean algebras. Another semantics uses Kripke models. These, however, are technical means for studying Heyting’s deductive...

mathematical field of model theory, a theory is called stable if it satisfies certain combinatorial restrictions on its complexity. Stable theories are rooted...

1975: Conceptual data model: describes the semantics of a domain, being the scope of the model. For example, it may be a model of the interest area of...

NoSQL multi-model database that evolved from an XML database to natively store JSON documents and RDF triples, the data model for semantics. MarkLogic...

Standard part function Set theory Forcing (mathematics) Boolean-valued model Kripke semantics General frame Predicate logic First-order logic Infinitary logic...

number Institutional model theory Kripke semantics Löwenheim–Skolem theorem Model-theoretic grammar Proof theory Saturated model Skolem normal form Chang...