A soft expert system for the creative exploration of first principles of crystal-laser design

Stuart H. Rubin, Robert J. Rush, Michael H. Smith, S. N. Jayaram Murthy, Ljiljana Trajkovic

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

A soft expert system is defined to be one that is qualitatively fuzzy. In this paper, we present such a system known as "KASER" which stands for 'Knowledge Amplification by Structural Expert Randomization". KASER facilitates reasoning using domain specific expert and commonsense knowledge. It accomplishes this through object-classed predicates and an associated novel inference engine. It addresses the high cost associated with the knowledge acquisition bottleneck. It also enables the entry of a basis of rules and provides for the automatic extension of that basis through domain symmetries. We demonstrate an application for KASER in the design of an intelligent tutoring system that teaches the basic science of crystal-laser design. It enables the student to experiment with various design concepts and receive feedback on the functionality of the proposed design. This is possible without a need to preprogram all possible scenarios.

Original languageEnglish
Pages (from-to)323-329
Number of pages7
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
StatePublished - 2002
Event2002 IEEE International Conference on Systems, Man and Cybernetics - Yasmine Hammamet, Tunisia
Duration: Oct 6 2002Oct 9 2002

Keywords

  • Intelligent Tutoring Systems
  • KASER
  • Knowledge Acquisition
  • Soft Expert Systems

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