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Preferred arguments are harder to compute than stable extensions

Authors: Dimopoulos, Yannis; Nebel, B.; Toni, F.; Dimopoulos, Yannis; Nebel, B.; Toni, F.;

Preferred arguments are harder to compute than stable extensions

Abstract

Based on an abstract framework for nonmonotonic reasoning, Bondarenko et at. have extended the logic programming semantics of admissible and preferred arguments to other nonmonotonic formalisms such as circumscription, autoepisternic logic and default logic. Although the new semantics have been tacitly assumed to mitigate the computational problems of nonmonotonic reasoning under the standard semantics of stable extensions, it seems questionable whether they improve the worst-case behaviour. As a matter of fact, we show that credulous reasoning under the new semantics in propositional logic programming and prepositional default logic has the same computational complexity as under the standard semantics. Furthermore, sceptical reasoning under the admissibility semantics is easier - since it is trivialised to monotonic reasoning. Finally, sceptical reasoning under the preferability semantics is harder than under the standard semantics.

Sponsors: International Joint Conferences on Artificial

Intelligence, Inc. (IJCAII)

Scandinavian AI Societies

Conference code: 97869

Cited By :28

Microsoft

Ericsson

36

41

Related Organizations
Keywords

Artificial intelligence, Abstract framework, Non-monotonic reasoning, Nonmonotonic, Logic programming semantics, Propositional logic, Default logic, Formal logic, Computational problem, Logic programming, Admissibility semantics, Semantics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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