Emulating the expert

  • Mark H. Lee
Part of the Open University Press Robotics Series book series (OUPRS)


In recent years there has been much excitement about expert systems and their applications in industry and commerce. In this chapter we will look at the principles and performance of expert systems and see how they fit in with the requirements for automated manufacturing.


Expert System Deep Knowledge Heuristic Rule Implicit Knowledge Diagnostic Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Further reading material

  1. Some of the issues raised in Section 8.2 are discussed in ‘New research on expert systems’, by B. G. Buchanan, in Machine Intelligence 10, edited by J. E. Hayes, D. Michie and Y. H. Pao, (Ellis Horwood, 1982), pp. 269–299.Google Scholar
  2. A tutorial article giving principles for matching different problems to different styles of expert system is ‘The organization of expert systems: A tutorial’, by M. Stefik et al., Artificial Intelligence (1982), volume 18, pp. 135–173.Google Scholar
  3. Many interesting studies on deep knowledge topics can be found in the following two collections of influential papers: (i) Qualitative Reasoning about Physical Systems, edited by D. G. Bobrow (North-Holland, 1984). (ii) Formal Theories of the Commonsense World, edited by J. R. Hobbs and R. C. Moore ( Ablex, New Jersey, 1985 ).Google Scholar

Copyright information

© Mark H. Lee 1989

Authors and Affiliations

  • Mark H. Lee

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