Knowledge Representation with Granular Attributive Logic for XTT-Based Expert Systems

@inproceedings{Ligeza2007KnowledgeRW,
  title={Knowledge Representation with Granular Attributive Logic for XTT-Based Expert Systems},
  author={Antoni Ligeza and Grzegorz J. Nalepa},
  booktitle={FLAIRS Conference},
  year={2007}
}
This paper presents an extension of classical attributive logic using atomic values of attributes. In the proposed logic set values are allowed and various relational symbols are used to form atomic formulae. The proposed language provides a concise and elegant tool for design, implementation and verification of rule-based systems. 
Highly Cited
This paper has 18 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 13 references

Meta-Level Approach to Integrated Process of Design and Implementation of Rule-Based Systems

  • G. J. Nalepa
  • Ph.D. Dissertation, AGH – University of Science…
  • 2004
Highly Influential
10 Excerpts

A granular attribute logic for rule-based systems management within extended tabular trees

  • A. Ligęza, P. F. Parra
  • Trappl, R., ed., Cybernetic and Systems, volume 2…
  • 2006
2 Excerpts

Artificial Intelligence

  • M. Negnevitsky
  • A Guide to Intelligent Systems. Harlow, England…
  • 2002
2 Excerpts

Similar Papers

Loading similar papers…