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  Default Reasoning with a Constraint Resolution Principle

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by Sven Eric Panitz, Johann Wolfgang Goethe-universitat
http://kiste-5.ki.informatik.uni-frankfurt.de/persons/panitz/paper/bbt.ps.gz
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Abstract:

Abstract. Common non-monotonic deduction systems such as Reiters default logic or inheritance networks must handle the multiple extension problem, i.e. generally they have distinct consistent sets of conclusions (extensions) which can be drawn from a theory. Most of these systems do not provide any control structure that helps to determine in which of these extensions inferences are made. Default proof theories are in most cases only able to prove if a sentence is in at least one extension. We create a resolution based system for default reasoning where an explicit control set can be built during reasoning and where default assumptions made in a deduction are remembered as constraints. The resulting system is a cumulative default logic which assures an even stricter cumulativity than Brewka's Cumulative Default Logic and is strong enough to express Poole's Framework for default reasoning. It turns out that the created system ranges from the logic with restricted quantifiers of H.J.Burckert via Reiter's default logic to the logic of theory change of Gardenfors. 1

Citations

457 Knowledge in Flux. Modeling the Dynamics of Epistemic States – Gärdenfors - 1988
345 A logical framework for default reasoning – Poole - 1988
120 Theorist: a logical reasoning system for defaults and diagnosis – Poole, Goebel, et al. - 1987
108 General theory of cumulative inference – Makinson - 1989
88 Embedding defaults into terminological knowledge representation formalisms – Baader, Hollunder - 1995
65 Default Logic – Besnard - 1992
35 A Resolution Principle for a Logic with Restricted Quantifiers – Hans-Jurgen, Burckert - 1991
5 A logic for default reasoning' Artificial Intelligence 13: 81-132. Reprinted pp 68-93 of M.Ginsberg ed – Reiter - 1980
1 Cumulative Default Logik: in defense of nonmonotonic inference rules – Brewka - 1991