Formalism for Description of Decision Rules

Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 130)

Abstract

In this chapter we discuss the eXtended Tabular Trees knowledge representation method for rules. It uses strict formalization of rule syntax and improves design and verification of RBS. It is the core of the Semantic Knowledge Engineering approach. This chapter discusses the core features of XTT. We begin with the formalization of single rules with the ALSV(FD) logic. Inference with ALSV(FD) is discussed next. Based on this, the formalization of rule bases with the XTT method is discussed. Then rule base modularization is described. Such rule bases need custom inference algorithms considered next. Finally, the formalization allows for the XTT rule bases to be verified.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.AGH University of Science and TechnologyKrakówPoland

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