Applications of Declarative Programming and Knowledge by Thomas Eiter, Michael Fink, Giovambattista Ianni, Peter

By Thomas Eiter, Michael Fink, Giovambattista Ianni, Peter Schüller (auth.), Hans Tompits, Salvador Abreu, Johannes Oetsch, Jörg Pührer, Dietmar Seipel, Masanobu Umeda, Armin Wolf (eds.)

This e-book constitutes revised chosen papers of the nineteenth overseas convention on functions of Declarative Programming and data administration, INAP 2011, and the twenty fifth Workshop on good judgment Programming, WLP 2011, held in Vienna, Austria, in September 2011. the nineteen papers offered during this quantity have been rigorously reviewed and chosen from 27 papers awarded on the convention and before everything a complete of 35 submissions. The booklet additionally includes the papers of 2 invited talks. The papers are geared up in topical sections on languages; answer-set programming and abductive reasoning; constraints and common sense programming; answer-set programming and version enlargement; program papers; and process descriptions.

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Extra info for Applications of Declarative Programming and Knowledge Management: 19th International Conference, INAP 2011, and 25th Workshop on Logic Programming, WLP 2011, Vienna, Austria, September 28-30, 2011, Revised Selected Papers

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Such a worst-case performance guarantee is the ultimate aim of algorithm design. The traditional theory of algorithms and complexity as developed in the 1960s and 1970s aims at performance guarantees in terms of one dimension only, the input size of the problem. , polynomial) performance guarantees. The traditional theory considers such problems as intractable. Nevertheless, heuristics-based algorithms and solvers work surprisingly well on real-world instances of such problems. Take for example the satisfiability problem (Sat) of propositional reasoning.

Extended and updated version of a paper that appeared in the proceedings of IJCAI 2011, The 22nd International Joint Conference on Artificial Intelligence (2012) 14. : Backdoors to normality for disjunctive logic programs. L. ) Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue, Washington, USA, 14–18 July 2013, pp. 320–337. AAAI Press, California (2013) 15. : Parameterized Complexity Theory, vol. XIV. Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin (2006) 16.

Therefore, the computation process can be described as a non-cyclic data flow. Figure 2 shows the data flow diagram for module pointInQuarterCircle. Because no module includes any side-effects, the set of points returned by the module is always the same for the same input. Figure 3 shows an example of module for, which implements the generator primitive for.

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