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Heuristic Classification: Additional Mechanisms

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Abstract

In the previous chapter we discussed how to deal with the central requirements of heuristic classification, namely the treatment of uncertain knowledge, step-wise abstraction and dialog control. In this chapter the mechanisms for the remaining requirements of Sect. 13.3 are described: the treatment of uncertain, subjective, potentially false, incomplete and parametrizable knowledge, of multiple solutions and combined recommendations for several solutions. The basic structure developed in Chap. 15 will be assumed.

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References

  • de Kleer, J.: An Assumption Based TMS, AI Journal 28, 127–162, 1986.

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  • Pearl, J.: How to Do with Probabilities What People Say You Can’t, Technical Report CSD 85003, University of California, and Proceedings of the 2nd Conference on Artificial Intelligence Applications, 1985.

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  • Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, 1988.

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  • Puppe, F.: Diagnostic Problem Solving with Expert Systems (in German), Springer Informatik-Fachberichte 148, 1987.

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© 1993 Springer-Verlag Berlin Heidelberg

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Puppe, F. (1993). Heuristic Classification: Additional Mechanisms. In: Systematic Introduction to Expert Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77971-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-77971-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77973-2

  • Online ISBN: 978-3-642-77971-8

  • eBook Packages: Springer Book Archive

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