Using Criticalities as a Heuristic for Answer Set Programming
| Abstract | Answer Set Programming is a new paradigm based on logic programming. The main component of answer set programming is a system that finds the answer sets of logic programs. During the computation of an answer set, systems are faced with choice points where they have to select a literal and assign it a truth value. Generally, systems utilize some heuristics to choose new literals at the choice points. The heuristic used is one of the key factors for the performance of the system. A new heuristic for answer set programming has been developed. This heuristic is inspired by hierarchical planning. The notion of criticality, which was introduced for generating abstraction hierarchies in hierarchical planning, is used in this heuristic. The resulting system (CSMOD- ELS) uses this new heuristic in a static way. CSMODELS is based on the system SMODELS. The experimental results show that this new heuristic is promising for answer set programming. A comparison of search times with SMODELS demonstrate CSMODELS’ usefulness | |||||||||
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Uwe Egly, Sarah Alice Gaggl & Stefan Woltran (2011). Answer-Set Programming Encodings for Argumentation Frameworks. Argument and Computation 1 (2):147-177.
David Pearce & Agustín Valverde (2005). A First Order Nonmonotonic Extension of Constructive Logic. Studia Logica 80 (2-3):321 - 346.
Jean-Gabriel Ganascia (2007). Modelling Ethical Rules of Lying with Answer Set Programming. Ethics and Information Technology 9 (1).
Carlos Viegas Damásio & Luís Moniz Pereira (2002). Hybrid Probabilistic Logic Programs as Residuated Logic Programs. Studia Logica 72 (1):113 - 138.
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