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文章基本信息

  • 标题:"Discovering Classes of Strongly Equivalent Logic Programs",
  • 本地全文:下载
  • 作者:F. Lin ; Y. Chen
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2007
  • 卷号:28
  • 页码:431-451
  • 出版社:American Association of Artificial
  • 摘要:In this paper we apply computer-aided theorem discovery technique to discover theorems about strongly equivalent logic programs under the answer set semantics. Our discovered theorems capture new classes of strongly equivalent logic programs that can lead to new program simplification rules that preserve strong equivalence. Specifically, with the help of computers, we discovered exact conditions that capture the strong equivalence between a rule and the empty set, between two rules, between two rules and one of the two rules, between two rules and another rule, and between three rules and two of the three rules.
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