Abstract
Expert systems reach high levels of performance when they operate in specific and narrow domains. Due to the fact that most of the engineering problems are well defined and specific, expert systems are widely used in engineering applications. Therefore, a survey of existing expert system tools and engineering based expert systems is appropriate. Development tools represent the essential “building blocks” upon which knowledge engineering and, thus, the expert system is built. Both, the development tools and expert systems, are software based products which solve specific problems using a knowledge based approach, the knowledge being represented in an explicit way [17]. Some of the most well known Expert System Development Tools (ESDT) are summarized to understand and conceptualize better pertinent implementation issues related to actual expert systems. Many Engineering Based Expert Systems (EBES) are also presented. However, the reviewed list should not (by any means) be conceived as an exhaustive catalogue of all existing expert systems for engineering applications; it should be rather viewed as an attempt to give a flavor of the capabilities and the wide area of applicability of Engineering Based Expert Systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Bibliography
Anderson, D. and Ortiz, C., “AALPS A Knowledge Based System for Aircraft Loading,” IEEE Expert, 2(4), pp. 71–79, 1987.
Balzer, R., Erman, L. D., London, P. and Williams, C., “Hearsey II: a domain independent framework for expert systems,” In: Proc. First Annual National Conf. on AI, pp. 108–110, 1980.
Bobrow, D. G. and Stefik, M., The LOOPS manual, Xerox Corporation, 1983.
Brazile, R. P. and Swigger, K. M., “Gates: an Airline Gate Assignment and Tracking Expert System,” IEEE Expert, (5)3, pp. 25–40, 1988.
Bundy, A. (Ed.), Catalogue of Artificial Intelligence Tools, Heidelberg Germany: Springer-Verlag, 1984.
Carnegie Group, Knowledge Craft 3.0 Reference Manual, Pittsuburg PA: Carnegie Group, 1985.
Duda, R. O. and Gasching, J. G., “Model design in the PROSPECTOR consultant system for mineral exploitation,” In: Expert Systems in the micro electronic age, (Ed. D. Mitchie). Edinburgh: Edinburgh University Press, pp. 153–167, 1979.
Forgy, C. L. and McDermott, J., The OPS5 user’s Manual, Camegie-Mellon University, department of Computer Science. Technical report, 1980.
Gairratano, L. C. and Riley, G., Expert systems, principles and programming, Boston MA: PWS-KENT, 1989.
Greiner, R. and Lenta, D. B., “A representation language,” In: Proc. First Annual National Conf on AI, pp. 165–169, 1980.
Hayes-Roth, F., Waterman, D. A. and Lenat, D. B., Building Expert Systems, Reading MA: Addison Wesley, 1983.
Inference Corporation, The Advance Reasoning Tool: Conceptual Overview Technical Report, Inference Corporation.
Intellicorp, The Knowledge Engineering Environment, Mountain View CA: Intellicorp, 1984.
Irgon, A., Zolnowski, J., Murray, K. J. and Gersho, M., “Expert System Development. A Retrospective View of five Systems,” IEEE Expert, (5)3, pp. 25–40, 1990.
Jackson, P., Introduction to Expert Systems, Reading MA: Addison Wesley, 1990.
Jansen, J. J. and Puttgen, H. B., “ASDEP: An Expert System for Electric Power Plant Design,” IEEE Expert, (2)1, pp. 56–66, 1987.
Johansen, J. G. and Alty, J. L., “Knowledge engineering for industrial expert systems,” Automatica, 27(1), pp. 97–114, 1991.
Kahn, G. and McDermott, D., “The MUD system,” Proceedings of the 1st IEEE conference on AI applications, 1984.
Kunz, J. C., Kehler, T. P. and Williams, M. D., “Application development using a hybrid AI development system,” AI Magazine, (5)3, 1984.
Laffey, T. J., Perkins, W. A. and Nguyen, T. A., “Reasoning about Fault Diagnosis with LES,” IEEE Expert, (1)1, pp. 13–20.
Leinweber, D., “Expert Systems in Space,” IEEE Expert, (2)1, pp. 26–36, 1987.
McDermott, J., “R1: an expert in the computer system domain,” Proceedings of the National Conference on AI, pp. 269–271, 1980.
McDermott, J., “R1’s formative years,” AI Magazine, (2)2, 1981.
McDermott, J., “R1: a rule-based configurer of computer systems,” Artificial Intelligence, 19, pp. 39–88, 1982.
McDermott, D. and Brooks, R., “Arby: diagnosis with shallow causal models,” In: AAAI-82, 1982.
Nil, H. P. and Aiello, N., “AGE (Attempt to Generalize): A knowledge based program for building knowledge based programs,” In: International Joint Conference on AI, 6, pp. 645–655, 1979.
Teknowledge, S.1 Reference Manual, Palo Alto CA. Teknowledge, 1985.
van Melle, W., System aids in constructing consultation programs, Ann Arbor, Michigan: UMI Research Press, 1981.
Walker, T. C. and Miller, R. K., Expert Systems. An assessment of Technology and Applications, Madison GA: SEAI Technical Publications, 1986.
Weiss, S. M. and Kulikowski, C. A., “Expert: a system for developing consultation models,” In: Proceedings of International Joint Conference on AI, pp. 942–947, 1979.
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kokkinaki, A.I., Valavanis, K.P., Tzafestas, S.G. (1993). A Survey of Expert System Tools and Engineering-Based Expert Systems. In: Tzafestas, S. (eds) Expert Systems in Engineering Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84048-7_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-84048-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-84050-0
Online ISBN: 978-3-642-84048-7
eBook Packages: Springer Book Archive