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A Simulation-Based Procedure for Expert System Evaluation

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Intelligent Problem Solving. Methodologies and Approaches (IEA/AIE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

Abstract

It is well recognized that the evaluation of the knowledge-based system is very important and difficult in the development of expert systems in the domains such as aviation and navigation. To alleviate some of the difficulties, and to reduce the development cost, the authors proposed an evaluating procedure based on simulation. The proposed procedure was designed to validate the functionality and capability of an expert system that was developed to provide decision-making support in ship navigation. In this paper, the developed expert system for collision avoidance is first outlined, and the procedure to evaluate the developed expert system by using a simulation-based approach is presented in details. It is also concluded that the simulation-based procedure is feasible and effective for evaluating expert systems in a number of different domains.

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References

  1. Massimo Benerecett, Fausto Giunchiglia, and Luciano Serafini, Multiagent System Verification via Model Checking. Proceedings of EUROVAV 98, 1998

    Google Scholar 

  2. Catholijn M. Jonker, Jan Treur, and Wieke De Vries, Compositional Verification of Agents in Dynamic Environment: a Case Study. Proceedings of EUROVAV 98, 1998

    Google Scholar 

  3. Francky Trichet and Pierre Tchounikine, Verifing and Validating a Task/Method Knowledge-base. Proceedings of EUROVAV 98, 1998

    Google Scholar 

  4. Mysore Ramaswamy and Sumit Saeker, Global Verification of Knowledge Based Systems via Local Verification of Partition. Proceedings of EUROVAV 97, 1997

    Google Scholar 

  5. Frans Coene and Faul Dunne, Verification and Validation of Rulebases Using a Binary Encoded Incidence Matrix Technique, Proceedings of EUROVAV 97, 1997

    Google Scholar 

  6. Anca I. Vermesan, Knowledge-based Systems: Verification and Validation in the view of Certification, Proceedings of EUROVAV 97, 1997

    Google Scholar 

  7. Dieter Fensel and Arno Schonegge, Specifying and Verifying Knowledge-based Systems with KIV, Proceedings of EUROVAV 97, 1997

    Google Scholar 

  8. K. Kose and C. Yang, A Collision Avoidance Expert System for Integrated Navigation System and Its Brush-up, Journal of the Society of Naval architects of Japan. Vol. 177, 1995

    Google Scholar 

  9. C. Yang, An Expert System for Collision Avoidance and Its Application, Ph.D. Thesis, 1995

    Google Scholar 

  10. K. Kose, Y. Ishioka, and C. Yang, A study on a Collision Avoidance Expert System for Decision-making Support in Integrated Navigation System, Journal of The Society of Naval Architects of Japan. Vol.178, 1996

    Google Scholar 

  11. A. Nagasawa, K. Hara, K. Inoue, and K. Kose, The Subjective Difficulties of the Situation of Collision Avoidance II— Toward the Rating by Simulation, Journal of Japan Institute of Navigation. Vol.91, 1993

    Google Scholar 

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Author information

Authors and Affiliations

  1. National Research Council, Montreal Rd, M-50, Ottawa, ON, K1A 0R6, Canada

    Chunsheng Yang & Sieu Phan

  2. Faculty of Engineering, Hiroshima University, Higashi-Hiroshima, Japan

    Kuniji Kose

  3. National Taiwan Ocean University, Keelung, Taiwan, Republic of China

    Pikuei Kuo

Authors
  1. Chunsheng Yang
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  2. Kuniji Kose
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  3. Sieu Phan
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  4. Pikuei Kuo
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Editor information

Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Yang, C., Kose, K., Phan, S., Kuo, P. (2000). A Simulation-Based Procedure for Expert System Evaluation. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_18

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  • DOI: https://doi.org/10.1007/3-540-45049-1_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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