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Titlebook: An Artificial Intelligence Approach to Test Generation; Narinder Singh Book 1987 Kluwer Academic Publishers 1987 Syntax.algorithms.artific

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發(fā)表于 2025-3-21 19:07:22 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱An Artificial Intelligence Approach to Test Generation
影響因子2023Narinder Singh
視頻videohttp://file.papertrans.cn/155/154870/154870.mp4
學科分類The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: An Artificial Intelligence Approach to Test Generation;  Narinder Singh Book 1987 Kluwer Academic Publishers 1987 Syntax.algorithms.artific
影響因子I am indebted to my thesis advisor, Michael Genesereth, for his guidance, inspiration, and support which has made this research possible. As a teacher and a sounding board for new ideas, Mike was extremely helpful in pointing out Haws, and suggesting new directions to explore. I would also like to thank Harold Brown for introducing me to the application of artificial intelligence to reasoning about designs, and his many valuable comments as a reader of this thesis. Significant contribu- tions by the other members of my reading committee, Mark Horowitz, and Allen Peterson have greatly improved the content and organization of this thesis by forcing me to communicate my ideas more clearly. I am extremely grateful to the other members of the Logic Group at the Heuristic Programming Project for being a sounding board for my ideas, and providing useful comments. In particular, I would like to thank Matt Ginsberg, Vineet Singh, Devika Subramanian, Richard Trietel, Dave Smith, Jock Mackinlay, and Glenn Kramer for their pointed criticisms. This research was supported by Schlumberger Palo Alto Research (previously Fairchild Laboratory for Artificial Intelligence). I am grateful to Peter Hart
Pindex Book 1987
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發(fā)表于 2025-3-21 23:11:31 | 只看該作者
Book 1987thank Matt Ginsberg, Vineet Singh, Devika Subramanian, Richard Trietel, Dave Smith, Jock Mackinlay, and Glenn Kramer for their pointed criticisms. This research was supported by Schlumberger Palo Alto Research (previously Fairchild Laboratory for Artificial Intelligence). I am grateful to Peter Hart
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An Artificial Intelligence Approach to Test Generation
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Reformulation, with high level design formulations that capture the morphology of the device. In this chapter we will present a more formal discussion of reformulation. Before we define how designs can be reformulated, we present a precise definition of a device which is a physical entity, and a design, which is
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發(fā)表于 2025-3-22 13:54:55 | 只看該作者
General Representation and Reasoning,of the reasoning process and reduce the size of the design. A design is a specification of a device at the knowledge level independent of any symbols. In order to reason about a device we must encode its design in a representation language, and use an inference procedure to reason with this descript
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發(fā)表于 2025-3-22 21:13:09 | 只看該作者
General Representation and Reasoning,of the reasoning process and reduce the size of the design. A design is a specification of a device at the knowledge level independent of any symbols. In order to reason about a device we must encode its design in a representation language, and use an inference procedure to reason with this description.
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Conclusion,This chapter will present a summary of the key ideas described in this thesis, suggest directions for further research in reformulating designs, and describe the implementation state of the Saturn test generation system.
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