Heuristic Classification: Additional Mechanisms

  • Frank Puppe

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.

Keywords

Fatigue Production Line Dition 

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References

  1. de Kleer, J.: An Assumption Based TMS, AI Journal 28, 127–162, 1986.Google Scholar
  2. 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.Google Scholar
  3. Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann, 1988.Google Scholar
  4. Puppe, F.: Diagnostic Problem Solving with Expert Systems (in German), Springer Informatik-Fachberichte 148, 1987.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Frank Puppe
    • 1
  1. 1.Institut für Informatik Lehrstuhl für Künstliche Intelligenz Am HublandUniversität WürzburgWürzburgGermany

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