Logic

Logic for Programming, Artificial Intelligence, and by Geoff Sutcliffe (auth.), Edmund M. Clarke, Andrei Voronkov

By Geoff Sutcliffe (auth.), Edmund M. Clarke, Andrei Voronkov (eds.)

This ebook constitutes the completely refereed post-conference court cases of the sixteenth overseas convention on common sense for Programming, synthetic Intelligence, and Reasoning, LPAR 2010, which came about in Dakar, Senegal, in April/May 2010. The 27 revised complete papers and nine revised brief papers provided including 1 invited speak have been rigorously revised and chosen from forty seven submissions. The papers handle all present matters in computerized reasoning, computational common sense, programming languages and take care of common sense programming, logic-based application manipulation, formal tools, and diverse forms of AI logics. matters coated variety from theoretical features to numerous purposes resembling automata, linear mathematics, verification, wisdom illustration, evidence thought, quantified constraints, in addition to modal and temporal logics.

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Additional info for Logic for Programming, Artificial Intelligence, and Reasoning: 16th International Conference, LPAR-16, Dakar, Senegal, April 25–May 1, 2010, Revised Selected Papers

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LOPSTR 1999. LNCS, vol. 1817, pp. 63–82. Springer, Heidelberg (2000) 35. : Property preserving abstractions for the verification of concurrent systems. Formal Methods in System Design 6(1), 11–44 (1995) 36. : Principles of Program Analysis. Springer, New York (1999) 37. : Constraint logic programming for local and symbolic model-checking. J. ) CL 2000. LNCS (LNAI), vol. 1861, pp. 384–398. Springer, Heidelberg (2000) 38. : Efficient real-time model checking using tabled logic programming and constraints.

Dams et al. [16] present a framework for constructing abstract interpretations for μ-calculus properties in transition systems. This involves constructing a mixed transition system containing two kinds of transition relations, the so-called free and constrained transitions. Godefroid et al. [25] proposed the use of modal transition systems [33] which consist of two components, namely must-transitions and may-transitions. In both [16] and [25], given an abstraction together with a concrete transition system, a mixed transition system, or an (abstract) modal transition system respectively, is automatically generated.

Thiele, L. ) HSCC 2005. LNCS, vol. 3414, pp. 258–273. Springer, Heidelberg (2005) 23. : The Fixpoint Checking Problem: An Abstraction Refinement Perspective. PhD thesis, Universit´e Libre de Bruxelles, D´epartement d’Informatique (2007) 24. : Incompleteness, counterexamples, and refinements in abstract model-checking. In: Cousot, P. ) SAS 2001. LNCS, vol. 2126, pp. 356–373. Springer, Heidelberg (2001) 25. : Abstraction-based model checking using modal transition systems. , Nielsen, M. ) CONCUR 2001.

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