Titlebook: Logic Programming and Nonmonotonic Reasoning; 16th International C Georg Gottlob,Daniela Inclezan,Marco Maratea Conference proceedings 2022

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A Comparative Study of?Three Neural-Symbolic Approaches to?Inductive Logic Programmingal-symbolic approaches to inductive logic programming have been recently proposed to combine the advantages of inductive logic programming, in terms of interpretability and generalization capability, with the characteristic capacity of deep learning to treat noisy and non-logical data. This paper co

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A Definition of?Sceptical Semantics in?the?Constellations Approach merging the subsets with the maximal probability of complete, preferred, semi-stable extensions respectively. Differently from the original work (i.e., [.]), the extension we propose is unique, as the principle of scepticism usually demands. This definition maintains some well-known properties, as

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SHACL: A Description Logic in?Disguise in popularity comes with questions related to its place in the semantic web, particularly about its relation to OWL (the de facto standard for expressing ontological information on the web) and description logics (which form the formal foundations of OWL). We answer these questions by arguing that

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Tunas - Fishing for?Diverse Answer Sets: A Multi-shot Trade up?Strategye complex and detailed programs can be solved. A side effect of this development are growing solution spaces and the problem of how to find those answer sets one is interested in. One general approach is to give an overview in form of a small number of highly diverse answer sets. By choosing a favou

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Epistemic Logic Programs: A Study of Some Properties., which are sets of belief sets. Different semantic approaches propose different characterizations of world views. Recent work has introduced semantic properties that should be met by any semantics for ELPs, like the ., that, if satisfied, allows to modularly compute world views in a bottom-up fash

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Representing Abstract Dialectical Frameworks with?Binary Decision Diagramsr we propose to use reduced ordered binary decision diagrams (.s) as a suitable representation of the acceptance conditions of arguments within ADFs. We first show that computational complexity of reasoning on ADFs represented by .s is milder than in the general case, with a drop of one level in the