Abstract
Diagnostic expert systems have long been considered an area where eventually a killer application might emerge. Much time has passed since the first prototypes were demonstrated, but we have not yet seen it in the marketplace – despite many less spectacular success stories. Is the original idea doomed or will the technology finally live up to the expectations?
In this paper we survey the state of the art with an emphasis on highlighting specific values of individual methods as well as considering the context of their use. The ultimate goal is to identify conditions and matching methods that will lead to the kind of success that pragmatist customers will find convincing – and then and only then, a real market presence will result.
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Abecker, A., Decker, S.: Organizational Memory: Knowledge Acquisition, Integration and Retrieval Issues. In: Puppe, F. (ed.) XPS 1999. LNCS (LNAI), vol. 1570, pp. 113–124. Springer, Heidelberg (1999)
Bamberger, S.: Cooperating Diagnostic Expert Systems to Solve Complex Diagnosis Tasks. In: Brewka, G., Habel, C., Nebel, B. (eds.) KI 1997. LNCS(LNAI), vol. 1303, pp. 325–336. Springer, Heidelberg (1997)
Bartsch-Spörl, B., Lenz, M., Hübner, A.: Case-Based Reasoning – Survey and Future Directions. In: Puppe, F. (ed.) XPS 1999. LNCS (LNAI), vol. 1570, pp. 67–89. Springer, Heidelberg (1999)
Beschta, A., Dressler, O., Freitag, H., Montag, M., Struss, P.: A Model-based Approach to Fault Localization in Power Transmission Networks. Intelligent Systems Engineering 2(1) (1993)
Console, L., Torasso, P.: Integrating Models of the Correct Behavior into Abductive Diagnosis. In: Proceedings ECAI 1990, Pitman Publishing, pp. 160–166 (1990)
de Dombal, F., Leaper, D., Horrocks, J., Staniland, J., McCann, A.: Computer-Aided Diagnosis of Acute Abdominal Pain. British Med. Journal 2, 9–13 (1972)
de Kleer, J., Mackworth, A., Reiter, R.: Characterizing diagnoses and Systems. In: Hamscher et al. 1992, pp. 54-65 (1992)
de Kleer, J., Raiman, O., Saraswat, V.: Critical Reasoning. In: Proc. IJCAI 1993, pp. 18–23. Morgan Kaufmann Publishers, San Francisco (1993)
Dressler, O., Struss, P.: Back to Defaults: Characterizing and Computing Diagnoses as Coherent Assumption Sets. In: Proceedings ECAI 1992, pp. 719–723. John Wiley & Sons, Chichester (1992)
Dressler, O., Struss, P.: The Consistency-based Approach to Automated Diagnosis of Devices. In: Brewka, G. (ed.) Principles of Knowledge Representation, pp. 267–311. CSLI Publications, Stanford (1996)
Eshelman, L.: MOLE: A Knowledge-Acquisition Tool for Cover-and-Differentiate Systems. In: Marcus, S. (ed.) Automating Knowledge Acquisition for Expert Systems. Kluwer Academic Publishers, Dordrecht (1988)
Finin, T., et al.: KQML - A Language and Protocol for Knowledge and Information Exchange. In: Fuchi, K., Yokoi, T. (eds.) Knowledge Building and Knowledge Sharing. Ohmsha Ltd., IOS Press (1994)
Frank, P.: Fault Diagnosis in Dynamic Systems via State Estimation - A Survey. In: Tzafestas, L., et al. (eds.) System Fault Diagnostics, Reliability & Related Knowledge-based Approaches, vol. 1, pp. 35–98. D.Reidel Press (1987)
Gappa, U., Puppe, F., Schewe, S.: Graphical Knowledge Acquisition for Medical Diagnostic Expert Systems. Artificial Intelligence in Medicine 5, 185–211 (1993)
Gardenfors, P. (ed.): Belief Revision. Cambridge University Press, Cambridge (1992)
Guckenbiehl, T., Milde, H., Neumann, B., Struss, P.: Meeting Re-use Requirements of Real-life Diagnosis Applications. In: Puppe, F. (ed.) XPS 1999. LNCS (LNAI), vol. 1570, pp. 90–100. Springer, Heidelberg (1999)
Hamscher, W., Console, L., de Kleer, J. (eds.): Readings in Model-based Diagnosis. Morgan Kaufmann, San Francisco (1992)
Isermann, R.: Process Fault Detection Based on Modelling and Estimation Methods: A survey. Automatica 20, 387–404 (1984)
Jennigs, N., Cockburn, D.: ARCHON: A Distributed Artificial Intelligence System for Industrial Applications. In: Jennings, N.R., O’Hare, G.M.P. (eds.) Foundation of Distributed Artificial Intelligence. John Wiley & Sons, Inc., Chichester (1996)
Kulikowski, C., Weiss, S. (eds.): Computer Systems That Learn Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems. Morgan Kaufman, San Francisco (1991)
Masarie, F., Miller, R., Myers, J.: INTERNIST-1 Properties: Representing Common Sense and Good Medical Practise in a Computerized Medical knowledge Base. Computer Biomed Research 18, 137–165 (1985)
Michie, D., Spiegelhalter, D., Taylor, C. (eds.): Machine Learning, Neural and Statistical Classification, Ellis Horwood (1994)
Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)
Moore, G.: Crossing the Chasm, Harper Business, New York (1991)
Ohmann, C., Yang, Q., Franke, C.: and the Abdominal Pain Study Group: Diagnostic Scores for Acute Appendicitis. Eur. J. Surg. 161, 273–281 (1995)
Quinlan, R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1997)
Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco (1988)
Patton, R., Chen, J.: Robustness in Model-based Fault Diagnosis. In: Atherton, D., Borne, P. (eds.) Concise Encyclopedia of Simulation and Modeling, pp. 379–392. Pergamon Press, Oxford (1992)
Puppe, F.: Learning from Cases for Classification Problem Solving. In: Bock, H.-H., Lenski, W., Richter, M. (eds.) Information Systems and Data Analysis, pp. 44–55. Springer, Heidelberg (1994)
Puppe, F.: Knowledge Reuse among Diagnostic Problem Solving Methods in the Shell-Kit D3. Int. Journal of Human-Computer-Studies 49 (1998)
Puppe, F., Gappa, U., Poeck, K., Bamberger, S.: Wissensbasierte Diagnose und Informationssysteme [Knowledge-Based Diagnosis and Information Systems]. Springer, Heidelberg (1996)
Puppe, F., et al.: Exhibition Guide of XPS-99, Internal Report, Institute of Informatics, Wuerzburg University (1999)
Reggia, J., Nau, D., Wang, P.: Diagnostic Expert Systems Based on a Set Covering Model. Int. J. Man-Machine-Studies 19, 437–460 (1983)
Rhein-Desel, U., Puppe, F.: Concepts for a Diagnostic Critiquing Systems in Vague Domains. In: Herzog, O. (ed.) KI 1998. LNCS(LNAI), vol. 1504, pp. 201–212. Springer, Heidelberg (1998)
Richards, D., Compton, P.: Taking Up the Situated Cognition Challenge with Ripple Down Rules. International Journal of Human Computer Studies (1998) (Special Issue on Situated Cognition)
Russell, S., Norvig, P.: Artificial Intelligence – A Modern Approach. Prentice-Hall, Englewood Cliffs (1995)
Schwartz, W.: Medicine and the Computer: The Promise and Problems of Change. New England Journal of Medicine 283, 1257–1264 (1970)
Shortliffe, E.: Computer-Based Medical Consultations: MYCIN. American Elsevier, Amsterdam (1976)
Silverman, B.: Survey of Expert Critiquing Systems; Practical and Theoretical Frontiers. CACM 35(4), 106–127 (1992)
Swartout, W., Neches, R., Patil, R.: Knowledge Sharing: Prospects and Challenges. In: Fuchi, K., Yokoi, R. (eds.) Knowledge Building and Knowledge Sharing. IOS Press, Amsterdam (1994)
Van Bemmel, J., Musen, M.: Handbook of Medical Informatics. Springer, Heidelberg (1997)
Vehicle Model-based Diagnosis, Brite-Euram Project, Presentation at the International Workshop on Principles of Diagnosis, Mont St. Michel (1997), http://www.aber.ac.uk/~dcswww/vmbd/
Wooldrigde, M., Jennigs, N.: Intelligent agents: theory and practice. Knowledge Engineering Review 10(2), 115–152 (1995)
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Dressler, O., Puppe, F. (1999). Knowledge-Based Diagnosis – Survey and Future Directions. In: Puppe, F. (eds) XPS-99: Knowledge-Based Systems. Survey and Future Directions. XPS 1999. Lecture Notes in Computer Science(), vol 1570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703016_2
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DOI: https://doi.org/10.1007/10703016_2
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