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Predicate answer set programming with coinduction.

机译:谓词答案集编程与共归。

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摘要

We introduce negation into coinductive logic programming (co-LP) via what we term Coinductive SLDNF (co-SLDNF ) resolution. We present declarative and operational semantics of co-SLDNF resolution and present their equivalence under the restriction of rationality and its applications. We apply co-LP with co-SLDNF resolution to Answer Set Programming (ASP). ASP is a powerful programming paradigm for performing nonmonotonic reasoning within logic programming. The current state of ASP solvers has been restricted to "grounded range-restricted function-free normal programs", with a "bottom-up" evaluation strategy (that is, not goal-driven) until now. The introduction of co-LP with co-SLDNF resolution has enabled the development of top-down goal evaluation strategies for ASP. We present a novel and innovative approach to solving ASP programs with co-LP. Our method eliminates the need for grounding, allows functions, and effectively handles a large class of predicate ASP programs including possibly infinite ASP programs. Moreover, it is goal-directed and top-down execution method that provides an innovative and attractive alternative to current ASP solver technology.
机译:我们通过所谓的共感SLDNF(co-SLDNF)分辨率将否定词引入到共演逻辑编程(co-LP)中。我们提出了共SLDNF解析的声明性和操作性语义,并在合理性及其应用限制下提出了它们的等效性。我们将具有共同SLDNF分辨率的共同LP应用于答案集编程(ASP)。 ASP是用于在逻辑编程中执行非单调推理的强大编程范例。到目前为止,ASP解算器的状态仅限于“接地范围受限的无功能正常程序”,并且采用“自下而上”的评估策略(即,不是目标驱动的)。具有co-SLDNF分辨率的co-LP的引入使ASP的自上而下的目标评估策略得以发展。我们提出了一种新颖且创新的方法来使用co-LP解决ASP程序。我们的方法消除了对接地的需求,允许使用功能,并有效地处理了大量谓词ASP程序,包括可能无限的ASP程序。此外,它是目标导向和自上而下的执行方法,它为当前的ASP求解器技术提供了一种创新且有吸引力的替代方法。

著录项

  • 作者

    Min, Richard Kyunglib.;

  • 作者单位

    The University of Texas at Dallas.;

  • 授予单位 The University of Texas at Dallas.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 179 p.
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 康复医学;
  • 关键词

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