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Titlebook: Logic-Based Program Synthesis and Transformation; 17th International S Andy King Conference proceedings 2008 Springer-Verlag Berlin Heidelb

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發(fā)表于 2025-3-21 16:32:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Logic-Based Program Synthesis and Transformation
副標題17th International S
編輯Andy King
視頻videohttp://file.papertrans.cn/589/588107/588107.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Logic-Based Program Synthesis and Transformation; 17th International S Andy King Conference proceedings 2008 Springer-Verlag Berlin Heidelb
出版日期Conference proceedings 2008
關(guān)鍵詞agent-based software development; algorithm; algorithms; analysis; component-based software development;
版次1
doihttps://doi.org/10.1007/978-3-540-78769-3
isbn_softcover978-3-540-78768-6
isbn_ebook978-3-540-78769-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Generation of Rule-Based Constraint Solvers: Combined Approachch tree of a generate and test method. The combined approach leads in general to more expressive and efficient constraint solvers. The generated rules are implemented in the language Constraint Handling Rules.
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Towards a Normal Form for Mercury Programsif not impossible to use in practice. We conjecture that the transformation to normal form, defined in this work, allows to substantially reduce the number of permutations, and hence the complexity of the search.
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Denotation by Transformationded to obtain a relation algebraic model for the whole program. This yields a denotational semantics which is on one hand closely related to point-free functional logic programs and on the other hand connects to the well-developed field of algebraic logic including automatic proving.
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Proving Termination with (Boolean) Satisfactionthe hallmark of the DPLL algorithm. In sync with the availability of progressively stronger SAT solvers is an accumulating number of applications which demonstrate that real world problems can often be solved by encoding them into SAT. When successful, this circumvents the need to redevelop complex search algorithms from scratch.
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