A logical framework for default reasoning
Artificial Intelligence
Alternative approaches to default logic
Artificial Intelligence
A comparative study of open default theories
Artificial Intelligence
Default theories over monadic languages
Theoretical Computer Science - Logic, language, information and computation
Default Theories Over Monadic Languages
Electronic Notes in Theoretical Computer Science (ENTCS)
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The paper identifies a problem in default reasoning in Reiter’s Default Logic and related systems: elements which are similar given the axioms only, become distinguishable in extensions. We explain why, sometimes, this is considered undesirable. Two approaches are presented for guaranteeing similarity preservation: One approach formalizes a way of uniformly applying the defaults to all similar elements by introducing generic extensions, which depend only on similarity types of objects. According to the second approach, for a restricted class of default theories, a default theory is viewed as a “shorthand notation” to what is “really meant” by its formulation. In this approach we propose a rewriting of defaults in a form that guarantees similarity preservation of the modified theory. It turns out that the above two approaches yield the same result.