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タイトルUsing Decision Procedures to Build Domain-Specific Deductive Synthesis Systems
本文(外部サイト)http://hdl.handle.net/2060/20020061258
著者(英)Roach, Steven; Lau, Sonie; VanBaalen, Jeffrey
著者所属(英)NASA Ames Research Center
発行日1998-01-01
言語eng
内容記述This paper describes a class of decision procedures that we have found useful for efficient, domain-specific deductive synthesis. These procedures are called closure-based ground literal satisfiability procedures. We argue that this is a large and interesting class of procedures and show how to interface these procedures to a theorem prover for efficient deductive synthesis. Finally, we describe some results we have observed from our implementation. Amphion/NAIF is a domain-specific, high-assurance software synthesis system. It takes an abstract specification of a problem in solar system mechanics, such as 'when will a signal sent from the Cassini spacecraft to Earth be blocked by the planet Saturn?', and automatically synthesizes a FORTRAN program to solve it.
NASA分類Cybernetics, Artificial Intelligence and Robotics
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/91415


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