Defeasible Conditionals using Answer Set Programming

Defeasible entailment is concerned with drawing plausible conclusions from incomplete information. A foundational framework for modelling defeasible entailment is the KLM framework. Introduced by Kraus, Lehmann, and Magidor, the KLM framework outlines several key properties for defeasible entailment. One of the most prominent algorithms within this framework is Rational Closure (RC). This paper presents a declarative definition for computing RC using Answer Set Programming (ASP). Our approach enables the automatic construction of the minimal ranked model from a given knowledge base and supports entailment checking for specified queries. We formally prove the correctness of our ASP encoding and conduct empirical evaluations to compare the performance of our implementation with that of existing imperative implementations, specifically the InfOCF solver. The results demonstrate that our ASP-based approach adheres to RC's theoretical foundations and offers improved computational efficiency.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2026-01-08
DOI
https://doi.org/10.4204/eptcs.439.15
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00

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article

Defeasible Conditionals using Answer Set Programming

Thomas Meyer, Jesse Heyninck, Racquel Dennison
Electronic Proceedings in Theoretical Computer Science
Logic, Reasoning, and Knowledge
article

Defeasible Conditionals using Answer Set Programming

Thomas Meyer, Jesse Heyninck, Racquel Dennison
article en

Abstract

Defeasible entailment is concerned with drawing plausible conclusions from incomplete information. A foundational framework for modelling defeasible entailment is the KLM framework. Introduced by Kraus, Lehmann, and Magidor, the KLM framework outlines several key properties for defeasible entailment. One of the most prominent algorithms within this framework is Rational Closure (RC). This paper presents a declarative definition for computing RC using Answer Set Programming (ASP). Our approach enables the automatic construction of the minimal ranked model from a given knowledge base and supports entailment checking for specified queries. We formally prove the correctness of our ASP encoding and conduct empirical evaluations to compare the performance of our implementation with that of existing imperative implementations, specifically the InfOCF solver. The results demonstrate that our ASP-based approach adheres to RC's theoretical foundations and offers improved computational efficiency.

Electronic Proceedings in Theoretical Computer ScienceVol. 439
National Research Foundation, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 93%
Logic, Reasoning, and Knowledge
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