Abstract
In this paper we describe the new system me-asp, which applies machine learning techniques for inductively choosing, among a set of available ones, the “best” ASP solver on a per-instance basis. Moreover, we report the results of some experiments, carried out on benchmarks from the “System Track” of the 3rd ASP Competition, showing the state-of-the-art performance of our solver.
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Maratea, M., Pulina, L., Ricca, F. (2012). The Multi-Engine ASP Solver me-asp. In: del Cerro, L.F., Herzig, A., Mengin, J. (eds) Logics in Artificial Intelligence. JELIA 2012. Lecture Notes in Computer Science(), vol 7519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33353-8_39
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DOI: https://doi.org/10.1007/978-3-642-33353-8_39
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