Satisfiability Checking for PC(ID)
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[1] Luís Moniz Pereira,et al. Computational Logic — CL 2000 , 2000, Lecture Notes in Computer Science.
[2] Robert E. Tarjan,et al. Depth-First Search and Linear Graph Algorithms , 1972, SIAM J. Comput..
[3] Graham Wrightson,et al. Automation of reasoning--classical papers on computational logic , 2012 .
[4] Ilkka Niemelä,et al. Smodels: A System for Answer Set Programming , 2000, ArXiv.
[5] Miroslaw Truszczynski,et al. dcs: An Implementation of DATALOG with Constraints , 2000, ArXiv.
[6] Eugenia Ternovska,et al. Reducing Inductive Definitions to Propositional Satisfiability , 2005, ICLP.
[7] Eljas Soisalon-Soininen,et al. On Finding the Strongly Connected Components in a Directed Graph , 1994, Inf. Process. Lett..
[8] Krzysztof R. Apt,et al. Logic Programming , 1990, Handbook of Theoretical Computer Science, Volume B: Formal Models and Sematics.
[9] Marc Denecker,et al. Knowledge representation and reasoning in incomplete logic programming , 1993 .
[10] Frank Wolter,et al. Semi-qualitative Reasoning about Distances: A Preliminary Report , 2000, JELIA.
[11] Marc Denecker,et al. Extending Classical Logic with Inductive Definitions , 2000, Computational Logic.
[12] Sharad Malik,et al. Chaff: engineering an efficient SAT solver , 2001, Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232).
[13] Konstantinos Sagonas,et al. XSB as an efficient deductive database engine , 1994, SIGMOD '94.
[14] Maarten Mariën,et al. On the Relation Between ID-Logic and Answer Set Programming , 2004, JELIA.
[15] Hector J. Levesque,et al. Competence in Knowledge Representation , 1982, AAAI.
[16] Anil Nerode,et al. Justification semantics: a unifying framework for the semantics of Logic Programs , 1993 .
[17] Fangzhen Lin,et al. ASSAT: computing answer sets of a logic program by SAT solvers , 2002, Artif. Intell..
[18] John S. Schlipf,et al. Computing Well-founded Semantics Faster , 1995, LPNMR.
[19] G. S. Tseitin. On the Complexity of Derivation in Propositional Calculus , 1983 .
[20] Allen Van Gelder,et al. The Alternating Fixpoint of Logic Programs with Negation , 1993, J. Comput. Syst. Sci..
[21] J. P. Marques,et al. GRASP : A Search Algorithm for Propositional Satisfiability , 1999 .
[22] Miroslaw Truszczynski,et al. On the Problem of Computing the Well-Founded Semantics , 2000, Computational Logic.
[23] Kenneth A. Ross,et al. The well-founded semantics for general logic programs , 1991, JACM.
[24] Marc Denecker,et al. The Well-Founded Semantics Is the Principle of Inductive Definition , 1998, JELIA.
[25] J. W. LLOYD,et al. Making Prolog more Expressive , 1984, J. Log. Program..
[26] Eugenia Ternovska,et al. Inductive situation calculus , 2004, Artif. Intell..
[27] Gerald Pfeifer,et al. System Description: DLV , 2001, LPNMR.
[28] David G. Mitchell,et al. A Framework for Representing and Solving NP Search Problems , 2005, AAAI.
[29] Sharad Malik,et al. Efficient conflict driven learning in a Boolean satisfiability solver , 2001, IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281).
[30] Victor W. Marek,et al. Logic programming revisited , 2001, ACM Trans. Comput. Log..
[31] Donald W. Loveland,et al. A machine program for theorem-proving , 2011, CACM.
[32] Lawrence Ryan. Efficient algorithms for clause-learning SAT solvers , 2004 .
[33] Yuliya Lierler,et al. Cmodels-2: SAT-based Answer Set Solver Enhanced to Non-tight Programs , 2004, LPNMR.