If Nothing Is Accepted -- Repairing Argumentation Frameworks
Author(s) -
Markus Ulbricht,
Ringo Baumann
Publication year - 2019
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.1.11791
Subject(s) - argumentation theory , computer science , context (archaeology) , semantics (computer science) , consistency (knowledge bases) , medical diagnosis , skepticism , knowledge representation and reasoning , representation (politics) , set (abstract data type) , knowledge base , theoretical computer science , epistemology , artificial intelligence , programming language , medicine , paleontology , philosophy , pathology , politics , political science , law , biology
Conflicting information in an agentu0027s knowledge base may lead to a semantical defect, that is, a situation where it is impossible to draw any plausible conclusion. Finding out the reasons for the observed inconsistency (so-called diagnoses) and/or restoring consistency in a certain minimal way (so-called repairs) are frequently occurring issues in knowledge representation and reasoning. In this article we provide a series of first results for these problems in the context of abstract argumentation theory regarding the two most important reasoning modes, namely credulous as well as sceptical acceptance. Our analysis includes the following problems regarding minimal repairs/diagnoses: existence, verification, computation of one and enumeration of all solutions. The latter problem is tackled with a version of the so-called hitting set duality first introduced by Raymond Reiter in 1987. It turns out that grounded semantics plays an outstanding role not only in terms of complexity, but also as a useful tool to reduce the search space for diagnoses regarding other semantics.
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