Abstract
ARTEX1 is a hybrid knowledge based system combining logic programming and object- oriented representation techniques. Its application domain are routing systems for high-quality audio signals, which are assembled of modules out of a determined set of components. Due to the large number of different configurations of routing systems, the diagnostic knowledge of ARTEX has to work with every individual system derived from the generic system model. This paper describes the integration of an object-oriented system model with diagnosis rules, as well as the flexible and concise diagnostic strategies enabled by this integration. ARTEX is used for several tasks during the life-cycle of an audio routing system.
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References
R. Davis. Diagnostic Reasoning Based on Structure and Behavior. Artificial Intelligence, 24 (1–3): 347–410, 1984.
J. de Kleer and B. C. Williams. Diagnosing Multiple Faults. Artificial Intelligence, 32 (1): 97–30, 1987.
G. Friedrich, W. Nejdl, and J. Retti. Wissensbasierte Fehlererkennung und Fehlerbehebung mit Hilfe eines objektorientierten Modells in ARTEX. In Proc. 3. Österreichische Artificial-lntelligence-Tagung, Wien, pages 104–113, Springer-Verlag, Sep. 1987.
M. R. Genesereth. The Use of Design Descriptions in Automated Diagnosis. Artificial Intelligence, 24 (1–3): 411–436, 1984.
E. T. Keravnou and L. Johnson. Competent Expert Systems ( A case study in fault diagnosis ). McGraw- Hill, 1986.
D. Klein and T. Finin. What’s in a Deep Model. In Proc. 10th International Joint Conf. on Al, Milan, pages 559–562, Aug. 1987.
T. J. Laffey, W. A. Perkins, and T. A. Nguyen. Reasoning about Fault Diagnosis with LES. IEEE Expert, 13–20, Spring 1986.
J. Pepper and G. S. Kahn. Repair Strategies in a Diagnostic Expert System. In Proc. 10th International Joint Conf. on Al, Milan, pages 531–534, Aug. 1987.
N. E. Reed, E. R. Stuck, and J. B. Moen. Specialized Strategies: An Alternative to First Principles in Diagnostic Problem Solving. In Proc. 7th National Conf. on Al (AAAI), St. Paul, Minn., pages 364–368, Aug. 1988.
R. Reiter. A Theory of Diagnosis from First Principles. Artificial Intelligence, 32 (1): 57–95, 1987.
J. Retti, W. Nejdl, and G. Friedrich. ARTEX - Wissensbasierte Fehlererkennung und Fehlerbehebung in einem Vermittlungssystem. In Proc. 2. Intl. GI-Kongreβ, Munchen, pages 217–223, Oct. 1987.
G. E. Urbanek. A State-of-the-art Microprocessor Controlled, Analog Audio Routing Switcher with Advanced Features. In Proc. NAB Engr. Conf., Las Vegas, 1988.
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© 1989 Springer-Verlag Berlin Heidelberg
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Fleischanderl, G., Friedrich, G., Retti, J. (1989). ARTEX — Configuration-Driven Diagnosis for Routing Systems. In: Retti, J., Leidlmair, K. (eds) 5. Österreichische Artificial-Intelligence-Tagung. Informatik-Fachberichte, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74688-8_6
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DOI: https://doi.org/10.1007/978-3-642-74688-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-51039-0
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