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JELIA 2016

Measuring Inconsistency in Answer Set Programs

Conference Paper Short Papers Artificial Intelligence · Knowledge Representation · Logic in Computer Science

Abstract

Abstract We address the issue of quantitatively assessing the severity of inconsistencies in logic programs under the answer set semantics. While measuring inconsistency in classical logics has been investigated for some time now, taking the non-monotonicity of answer set semantics into account brings new challenges that have to be addressed by reasonable accounts of inconsistency measures. We investigate the behavior of inconsistency in logic programs by revisiting existing rationality postulates for inconsistency measurement and developing novel ones taking non-monotonicity into account. Further, we develop new measures for this setting and investigate their properties.

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Context

Venue
European Conference on Logics in Artificial Intelligence
Archive span
2000-2023
Indexed papers
542
Paper id
507069336037106252
v2026.09.13