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相关论文: Preferred well-founded semantics for logic program…

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We provide a semantic framework for preference handling in answer set programming. To this end, we introduce preference preserving consequence operators. The resulting fixpoint characterizations provide us with a uniform semantic framework…

人工智能 · 计算机科学 2007-05-23 Torsten Schaub , Kewen Wang

We introduce a methodology and framework for expressing general preference information in logic programming under the answer set semantics. An ordered logic program is an extended logic program in which rules are named by unique terms, and…

人工智能 · 计算机科学 2007-05-23 J. P. Delgrande , T. Schaub , H. Tompits

The well-founded semantics is one of the most widely studied and used semantics of logic programs with negation. In the case of finite propositional programs, it can be computed in polynomial time, more specifically, in O(|At(P)|size(P))…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Zbigniew Lonc , Miroslaw Truszczynski

We describe an approach for compiling preferences into logic programs under the answer set semantics. An ordered logic program is an extended logic program in which rules are named by unique terms, and in which preferences among rules are…

人工智能 · 计算机科学 2007-05-23 James P. Delgrande , Torsten Schaub , Hans Tompits

The paper describes an extension of well-founded semantics for logic programs with two types of negation. In this extension information about preferences between rules can be expressed in the logical language and derived dynamically. This…

人工智能 · 计算机科学 2008-02-03 G. Brewka

Logic programming with fixed-point definitions is a useful extension of traditional logic programming. Fixed-point definitions can capture simple model checking problems and closed-world assumptions. Its operational semantics is typically…

计算机科学中的逻辑 · 计算机科学 2015-08-06 Keehang Kwon

Part of the theory of logic programming and nonmonotonic reasoning concerns the study of fixed-point semantics for these paradigms. Several different semantics have been proposed during the last two decades, and some have been more…

人工智能 · 计算机科学 2007-05-23 Pascal Hitzler , Matthias Wendt

We define a novel, extensional, three-valued semantics for higher-order logic programs with negation. The new semantics is based on interpreting the types of the source language as three-valued Fitting-monotonic functions at all levels of…

编程语言 · 计算机科学 2019-07-25 Angelos Charalambidis , Panos Rondogiannis , Ioanna Symeonidou

Much work has been done on extending the well-founded semantics to general disjunctive logic programs and various approaches have been proposed. However, these semantics are different from each other and no consensus is reached about which…

人工智能 · 计算机科学 2007-05-23 Kewen Wang , Lizhu Zhou

In this paper, we present two alternative approaches to defining answer sets for logic programs with arbitrary types of abstract constraint atoms (c-atoms). These approaches generalize the fixpoint-based and the level mapping based answer…

人工智能 · 计算机科学 2011-10-12 E. Pontelli , T. C. Son , P. H. Tu

Prioritized default reasoning has illustrated its rich expressiveness and flexibility in knowledge representation and reasoning. However, many important aspects of prioritized default reasoning have yet to be thoroughly explored. In this…

人工智能 · 计算机科学 2007-05-23 Yan Zhang

We present an extension-based approach for computing and verifying preferences in an abstract argumentation system. Although numerous argumentation semantics have been developed previously for identifying acceptable sets of arguments from…

人工智能 · 计算机科学 2024-03-27 Quratul-ain Mahesar , Nir Oren , Wamberto W. Vasconcelos

Fuzzy logic programming is an established approach for reasoning under uncertainty. Several semantics from classical, two-valued logic programming have been generalized to the case of fuzzy logic programs. In this paper, we show that two of…

计算机科学中的逻辑 · 计算机科学 2025-07-17 Pascal Kettmann , Jesse Heyninck , Hannes Strass

In this paper we investigate the theoretical foundation of a new bottom-up semantics for linear logic programs, and more precisely for the fragment of LinLog that consists of the language LO enriched with the constant 1. We use constraints…

编程语言 · 计算机科学 2007-05-23 Marco Bozzano , Giorgio Delzanno , Maurizio Martelli

We propose a stable model semantics for higher-order logic programs. Our semantics is developed using Approximation Fixpoint Theory (AFT), a powerful formalism that has successfully been used to give meaning to diverse non-monotonic…

计算机科学中的逻辑 · 计算机科学 2025-01-22 Bart Bogaerts , Angelos Charalambidis , Giannos Chatziagapis , Babis Kostopoulos , Samuele Pollaci , Panos Rondogiannis

Well-founded fixed points have been used in several areas of knowledge representation and reasoning and to give semantics to logic programs involving negation. They are an important ingredient of approximation fixed point theory. We study…

离散数学 · 计算机科学 2015-12-02 Arnaud Carayol , Zoltan Esik

We are aiming at a semantics of logic programs with preferences defined on rules, which always selects a preferred answer set, if there is a non-empty set of (standard) answer sets of the given program. It is shown in a seminal paper by…

计算机科学中的逻辑 · 计算机科学 2011-09-05 Jan Sefranek , Alexander Simko

An FOL-program consists of a background theory in a decidable fragment of first-order logic and a collection of rules possibly containing first-order formulas. The formalism stems from recent approaches to tight integrations of ASP with…

编程语言 · 计算机科学 2014-05-15 Yi Bi , Jia-Huai You , Zhiyong Feng

Argumentation has proved a useful tool in defining formal semantics for assumption-based reasoning by viewing a proof as a process in which proponents and opponents attack each others arguments by undercuts (attack to an argument's premise)…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Ralf Schweimeier , Michael Schroeder

It is well known that, under certain conditions, it is possible to split logic programs under stable model semantics, i.e. to divide such a program into a number of different "levels", such that the models of the entire program can be…

人工智能 · 计算机科学 2007-05-23 Joost Vennekens , David Gilis , Marc Denecker
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