Günther Charwat

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Answer Set Programming is a well-established paradigm of declarative programming in close relationship with other declarative formalisms such as SAT Modulo Theories, Constraint Handling Rules, PDDL and many others. Since its first informal editions, ASP systems are compared in the nowadays customary ASP Competition. The fourth ASP Competition, held in(More)
Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides providing a core formalism for many advanced argumentation systems, abstract argumentation has also served to capture several non-monotonic logics and other AI related principles. Although the idea of abstract argumentation is appealingly(More)
System competitions evaluate solvers and compare state-of-the-art implementations on benchmark sets in a dedicated and controlled computing environment, usually comprising of multiple machines. Recent initiatives such as [6] aim at establishing best practices in computer science evaluations, especially identifying measures to be taken for ensuring(More)
Problems from the area of graph theory always served as fruitful benchmarks in order to explore the performance of Answer Set Programming (ASP) systems. A relatively new branch in graph theory is concerned with so-called secure sets. It is known that verifying whether a set is secure in a graph is already co-NP-hard. The problem of enumerating all secure(More)
Within the area of computational models of argumentation, the instantiation-based approach is gaining more and more attention, not at least because meaningful input for Dung’s abstract frameworks is provided in that way. In a nutshell, the aim of instantiation-based argumentation is to form, from a given knowledge base, a set of arguments and to identify(More)
Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides serving as a core formalism for many advanced argumentation systems, this is mainly due to the fact that abstract argumentation has been shown to capture several nonmonotonic logics and other AI related principles. Although the idea of abstract(More)
Complex reasoning problems over large amounts of data pose a great challenge for Artificial Intelligence and Knowledge Representation. To cope with it, it is desirable to use declarative approaches, as these offer high maintainability and are often easy to use for domain experts. Especially Answer Set Programming (ASP) has become prominent due to the(More)
Complex reasoning problems over large amounts of data pose a great challenge for computer science. To overcome the obstacle of high computational complexity, exploiting structure by means of tree decompositions has proved to be effective in many cases. However, the implementation of suitable efficient algorithms is often tedious. D-FLAT is a software system(More)