【摘 要】
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Logic programming under the stable model semantics is proposed as a non-monotonic language for knowledge representation and reasoning in artificial intelligence
【机 构】
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Department of Computer Science & Technology,School of Computer and Information Science,Guizhou Acade
【基金项目】
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国家自然科学基金;the Natural Science Foundation of Educational Commission of Guizhou Province;Scientific Research Fund for Talents Recruiting of Guizhou University;the Science and Technology Foundation of Gui
论文部分内容阅读
Logic programming under the stable model semantics is proposed as a non-monotonic language for knowledge representation and reasoning in artificial intelligence. In this paper, we explore and extend the notion of compatibility and the A operator, which were first proposed by Zhang to characterize default theories. First, we present a new characterization of stable models of a logic program and show that an extended notion of compatibility can characterize stable submodels. We further propose the notion of weak auto-compatibility which characterizes the Normal Forward Chaining Construction proposed by Marek, Nerode and Remmel. Previously, this construction was only known to construct the stable models of FC-normal logic programs, which turn out to be a proper subclass of weakly auto-compatible logic programs. We investigate the properties and complexity issues for weakly auto-compatible logic programs and compare them with some subclasses of logic programs.
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