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相关论文: A Framework for Compiling Preferences in Logic Pro…

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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

This paper describes a system, called PLP, for compiling ordered logic programs into standard logic programs under the answer set semantics. In an ordered logic program, rules are named by unique terms, and preferences among rules are given…

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

In logic programming under the answer set semantics, preferences on rules are used to choose which of the conflicting rules are applied. Many interesting semantics have been proposed. Brewka and Eiter's Principle I expresses the basic…

计算机科学中的逻辑 · 计算机科学 2014-04-29 Alexander Šimko

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

We analyze the problem of defining well-founded semantics for ordered logic programs within a general framework based on alternating fixpoint theory. We start by showing that generalizations of existing answer set approaches to preference…

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

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

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

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 a unified logical framework for representing and reasoning about both quantitative and qualitative preferences in fuzzy answer set programming, called fuzzy answer set optimization programs. The proposed framework is vital to…

人工智能 · 计算机科学 2013-04-11 Emad Saad

We extend answer set semantics to deal with inconsistent programs (containing classical negation), by finding a ``best'' answer set. Within the context of inconsistent programs, it is natural to have a partial order on rules, representing a…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Davy Van Nieuwenborgh , Dirk Vermeir

Higher-order logic programming is an interesting extension of traditional logic programming that allows predicates to appear as arguments and variables to be used where predicates typically occur. Higher-order characteristics are indeed…

编程语言 · 计算机科学 2018-12-04 Antonis Troumpoukis , Angelos Charalambidis

A logic program is an executable specification. For example, merge sort in pure Prolog is a logical formula, yet shows creditable performance on long linked lists. But such executable specifications are a compromise: the logic is distorted…

编程语言 · 计算机科学 2015-09-29 M. H. van Emden

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

We present a declarative language, PP, for the high-level specification of preferences between possible solutions (or trajectories) of a planning problem. This novel language allows users to elegantly express non-trivial, multi-dimensional…

人工智能 · 计算机科学 2009-09-29 Tran Cao Son , Enrico Pontelli

Logic Programs with Ordered Disjunction (LPODs) extend classical logic programs with the capability of expressing alternatives with decreasing degrees of preference in the heads of program rules. Despite the fact that the operational…

人工智能 · 计算机科学 2022-05-09 Angelos Charalambidis , Panos Rondogiannis , Antonis Troumpoukis

Various structured argumentation frameworks utilize preferences as part of their standard inference procedure to enable reasoning with preferences. In this paper, we consider an inverse of the standard reasoning problem, seeking to identify…

人工智能 · 计算机科学 2020-05-13 Quratul-ain Mahesar , Nir Oren , Wamberto W. Vasconcelos

Modular logic programs provide a way of viewing logic programs as consisting of many independent, meaningful modules. This paper introduces first-order modular logic programs, which can capture the meaning of many answer set programs. We…

计算机科学中的逻辑 · 计算机科学 2017-02-21 Amelia Harrison , Yuliya Lierler

A logic programming paradigm which expresses solutions to problems as stable models has recently been promoted as a declarative approach to solving various combinatorial and search problems, including planning problems. In this paradigm,…

人工智能 · 计算机科学 2007-05-23 Maurice Bruynooghe

This paper introduces an extension of Answer Set Programming called Preference Set Constraint Programming which is a convenient and general formalism to reason with preferences. PSC programming extends Set Constraint Programming introduced…

计算机科学中的逻辑 · 计算机科学 2012-03-06 Alex Brik , Jeffrey B. Remmel

Logic programming is a flexible programming paradigm due to the use of predicates without a fixed data flow. To extend logic languages with the compact notation of functional programming, there are various proposals to map evaluable…

编程语言 · 计算机科学 2022-05-17 Michael Hanus
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