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Titlebook: Logic Programming; 21st International C Maurizio Gabbrielli,Gopal Gupta Conference proceedings 2005 Springer-Verlag Berlin Heidelberg 2005

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樓主: 人工合成
31#
發(fā)表于 2025-3-26 22:35:02 | 只看該作者
Towards Implementations for Advanced Equivalence Checking in Answer-Set Programming,fine different notions of equivalence, including the well-known notions of . and ., as well as refined equivalence notions based on the . of answer sets, where not all parts of an answer set are of relevance (like, e.g., removal of auxiliary letters). In the general case, deciding the correspondence
32#
發(fā)表于 2025-3-27 02:27:13 | 只看該作者
Hybrid Probabilistic Logic Programs with Non-monotonic Negation,g about real-world applications. In this paper, the language of Hybrid Probabilistic Logic Programs framework of [22] is extended to allow non-monotonic negation, and two alternative semantics are defined: stable probabilistic model semantics and probabilistic well-founded semantics. Stable probabil
33#
發(fā)表于 2025-3-27 07:52:13 | 只看該作者
34#
發(fā)表于 2025-3-27 13:17:45 | 只看該作者
35#
發(fā)表于 2025-3-27 15:04:12 | 只看該作者
A Generator of Efficient Abstract Machine Implementations and Its Application to Emulator Minimizatkept separate and automatically assembled in the generation process. Alternative versions of the abstract machine are therefore easier to produce, and variants of their implementation can be created mechanically, with specific characteristics for a particular application if necessary. We illustrate
36#
發(fā)表于 2025-3-27 18:30:20 | 只看該作者
37#
發(fā)表于 2025-3-27 23:04:54 | 只看該作者
HYPROLOG: A New Logic Programming Language with Assumptions and Abduction, to provide for abduction, the most efficient of known implementations; the price, however, is a limited use of negations. The main difference wrt. previous implementations of abduction is that we avoid any level of metainterpretation by having Prolog execute the deductive steps directly and by trea
38#
發(fā)表于 2025-3-28 03:23:10 | 只看該作者
Hybrid Probabilistic Logic Programs with Non-monotonic Negation,This development provides a foundational ground for developing computational methods for computing the proposed semantics. Furthermore, it makes it clearer how to characterize non-monotonic negation in probabilistic logic programming frameworks for commonsense reasoning.
39#
發(fā)表于 2025-3-28 08:20:41 | 只看該作者
Reducing Inductive Definitions to Propositional Satisfiability,logic programs under the stable model semantics. Our experiments show that when using a state of the art SAT solver both reductions are competitive with other answer set programming systems — both direct implementations and SAT based.
40#
發(fā)表于 2025-3-28 12:21:00 | 只看該作者
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