Abstract. It is known that skeptical abductive explanations with re-spect to classical logic can be characterized semantically in a natural way as formulas with second-order quantifiers. Computing explanations is then just elimination of the second-order quantifiers. By using appli-cation patterns and generalizations of second-order quantification, like literal projection, the globally weakest sufficient condition and circum-scription, we transfer these principles in a unifying framework to ab-duction with three non-classical semantics of logic programming: stable model, partial stable model and well-founded semantics. New insights are revealed about abduction with the partial stable model semantics.
Recently, Gelfond and Lifschitz presented a formal language for representing incomplete knowledge on...
Abductive logic programming offers a formalism to declaratively express and solve problems in areas ...
to appear Machine Intelligence,14Abduction is a methodology of scientific researches. Peirce showed ...
A long outstanding problem for abduction in logic programming has been on how minimality might be de...
AbstractA long outstanding problem for abduction in logic programming has been on how minimality mig...
AbstractAbduction — from observations and a theory, find using hypotheses an explanation for the obs...
AbstractWe present a method to compute abduction in logic programming. We translate an abductive fra...
Abstract. A prototype system is described whose core functionality is, based on propositional logic,...
AbstractLogic programs are considered as abductive programs with negative literals as abductive hypo...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
The formalization of abductive reasoning is still an open question: there is no general agreement on...
This article presents the confluence of two general ideas: Defeasible Logic Programming (DeLP, an ar...
The formalization of abductive reasoning is still an open question: there is no general agreement on...
Reasoning can be defined as the process of applying existing knowledge in order to produce new knowl...
Logic programming with negation offers a compelling ap-proach to abductive reasoning. This paper sho...
Recently, Gelfond and Lifschitz presented a formal language for representing incomplete knowledge on...
Abductive logic programming offers a formalism to declaratively express and solve problems in areas ...
to appear Machine Intelligence,14Abduction is a methodology of scientific researches. Peirce showed ...
A long outstanding problem for abduction in logic programming has been on how minimality might be de...
AbstractA long outstanding problem for abduction in logic programming has been on how minimality mig...
AbstractAbduction — from observations and a theory, find using hypotheses an explanation for the obs...
AbstractWe present a method to compute abduction in logic programming. We translate an abductive fra...
Abstract. A prototype system is described whose core functionality is, based on propositional logic,...
AbstractLogic programs are considered as abductive programs with negative literals as abductive hypo...
We propose an approach for the integration of abduction and induction in Logic Programming. In parti...
The formalization of abductive reasoning is still an open question: there is no general agreement on...
This article presents the confluence of two general ideas: Defeasible Logic Programming (DeLP, an ar...
The formalization of abductive reasoning is still an open question: there is no general agreement on...
Reasoning can be defined as the process of applying existing knowledge in order to produce new knowl...
Logic programming with negation offers a compelling ap-proach to abductive reasoning. This paper sho...
Recently, Gelfond and Lifschitz presented a formal language for representing incomplete knowledge on...
Abductive logic programming offers a formalism to declaratively express and solve problems in areas ...
to appear Machine Intelligence,14Abduction is a methodology of scientific researches. Peirce showed ...