1992Unpublished venueRequires access

Extended Well-Founded Semantics for Paraconsistent Logic Programs.

Chiaki Sakama

Open publisher page 26 citations

Abstract

This paper presents a declarative semantics of logic programs which possibly contain inconsistent information. We introduce a multi-valued interpretation of logic programs and present the extended well-founded semantics for paraconsistent logic programs. In this setting, a meaningful information is still available in the presence of an inconsistent information in a program and any fact which is affected by an inconsistent information is distinguished from the others. The well-founded semantics is also extended to disjunctive paraconsistent logic programs. 1 Introduction Recent studies have greatly enriched an expressive power of logic programming as a tool for knowledge representation. Handling classical negation as well as negation by failure in a program is one of such extension. An extended logic program, which is introduced by Gelfond and Lifschitz [GL90], distinguishes two types of negation and enables us to deal with explicit negation as well as default negation in a pro...

About this research paper

What this paper is about

This paper presents a declarative semantics of logic programs which possibly contain inconsistent information. We introduce a multi-valued interpretation of logic programs and present the extended well-founded semantics for paraconsistent logic programs. In this setting, a meaningful information is still available in the presence of an inconsistent information in a program and any fact which is affected by an inconsistent information is distinguished from the others. The well-founded semantics is also extended to disjunctive paraconsistent logic programs. 1 Introduction Recent studies have greatly enriched an expressive power of logic programming as a tool for knowledge representation. Handling classical negation as well as negation by failure in a program is one of such extension. An extended logic program, which is introduced by Gelfond and Lifschitz [GL90], distinguishes two types of negation and enables us to deal with explicit negation as well as default negation in a pro...

Why it matters

OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper presents a declarative semantics of logic programs which possibly contain inconsistent information. We introduce a multi-valued interpretation of logic programs and present the extended well-founded semantics for paraconsistent logic programs. In this setting, a meaningful information is still available in the presence of an inconsistent information in a program and any fact which is affected by an inconsistent information is distinguished from the others. The well-founded semantics is also extended to disjunctive paraconsistent logic programs. 1 Introduction Recent studies have greatly enriched an expressive power of logic programming as a tool for knowledge representation. Handling classical negation as well as negation by failure in a program is one of such extension. An extended logic program, which is introduced by Gelfond and Lifschitz [GL90], distinguishes two types of negation and enables us to deal with explicit negation as well as default negation in a pro...

Key concepts: Computer science, Programming language, Semantics (computer science), Paraconsistent logic, Theoretical computer science, Logic program, Logic programming, Description logic

Related papers

Back to paper searchBrowse research topicsOriginal source
Extended Well-Founded Semantics for Paraconsistent Logic Programs. — Research Paper | ScholarLens