Abstract
Rising from strong theoretical foundations in Logic Programming and Nonmonotonic Reasoning, Answer Set Programming (ASP) came to life as a declarative problem solving paradigm [1,2,3] in the late nineties. The further development of ASP was greatly inspired by the early availability of efficient and robust ASP solvers, like smodels [4] and dlv [5]. The community started modeling with ASP and a first milestone was the conception of TheoryBase [6] providing a systematic and scalable source of benchmarks stemming from combinatorial problems. Although the scalability of such benchmarks is of great value for empirically evaluating systems, the need for application-oriented benchmarks was early perceived. The demand for systematic benchmarking led to the Dagstuhl initiative and with it the creation of the web-based benchmark archive asparagus [7]. This repository has in the meantime grown significantly, mainly due to the two past ASP competitions [8,9], and contains nowadays a whole variety of different types of benchmarks, although it is still far from being comprehensive.
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Schaub, T. (2009). Making Your Hands Dirty Inspires Your Brain! Or How to Switch ASP into Production Mode. In: Erdem, E., Lin, F., Schaub, T. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2009. Lecture Notes in Computer Science(), vol 5753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04238-6_73
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DOI: https://doi.org/10.1007/978-3-642-04238-6_73
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