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Titlebook: Logic-Based Program Synthesis and Transformation; 22nd International S Elvira Albert Conference proceedings 2013 Springer-Verlag Berlin Hei

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41#
發(fā)表于 2025-3-28 14:53:36 | 只看該作者
Proving Properties of Co-logic Programs with Negation by Program Transformations,imination, when incorporated into the previous framework for unfold/fold transformation, allows us to represent and reason about a wider class of co-logic programs. We also discuss the difference between negation elimination applied to co-logic programs and the conventional negative unfolding applie
42#
發(fā)表于 2025-3-28 19:39:56 | 只看該作者
an object property. (2) Four data integrity constraints: First Normal Form, Not Null, Unique and Primary Key. Another contribution of our proposal is related to the support for generating large ontologies, which are not usually supported by traditional tools of ontological engineering such as Protég
43#
發(fā)表于 2025-3-29 00:07:18 | 只看該作者
44#
發(fā)表于 2025-3-29 06:36:08 | 只看該作者
45#
發(fā)表于 2025-3-29 07:48:55 | 只看該作者
Henning Christiansen,Christian Theil Have,Ole Torp Lassen,Matthieu Petit search directions in the recombination of potentially promising solutions. Chromosome library is partially updated at the end of each generation and its size is limited by a maximum value. The proposed genetic algorithm strategy is applied to the solution of both stationary and nonstationary hard n
46#
發(fā)表于 2025-3-29 14:29:06 | 只看該作者
Céline Dandois,Wim Vanhoofn different types of induction. We review the literature on related work by discussing different classes of probability distribution that have been used so far in probabilistic model—building EAs. We conclude this chapter by reflecting on the use and applicability of learning probabilistic models fo
47#
發(fā)表于 2025-3-29 19:33:24 | 只看該作者
48#
發(fā)表于 2025-3-29 20:07:34 | 只看該作者
David Insa,Josep Silva,César Tomásn different types of induction. We review the literature on related work by discussing different classes of probability distribution that have been used so far in probabilistic model—building EAs. We conclude this chapter by reflecting on the use and applicability of learning probabilistic models fo
49#
發(fā)表于 2025-3-30 00:59:11 | 只看該作者
50#
發(fā)表于 2025-3-30 05:39:37 | 只看該作者
Heiko Mantel,Henning Sudbrockasis on the identification, acquisition and use of external knowledge. Drawing from this theoretical basis, the book presents concepts and instruments specifically designed for SMEs, as well as examples of their implementation and use in practice..978-3-7908-2525-1978-3-7908-1681-5
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