On ALSV Rules Formulation and Inference

نویسندگان

  • Grzegorz J. Nalepa
  • Antoni Ligeza
چکیده

In this paper knowledge representation and inference issues for rule-based systems are discussed. The paper deals with improving the logical calculus of Set Attributive Logic founding an expressive rule language XTT. Representation extensions are introduced, and practical inference rules provided. The original includes an extended state specification, as well as interpreter design. Examples of rule analysis are given. Visual design tool HQed assuring rule quality is also presented.

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تاریخ انتشار 2009