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Intelligent robotics pp 148–174Cite as

Emulating the expert

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Part of the book series: Open University Press Robotics Series ((OUPRS))

Abstract

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.

An expert is a man who has made all the mistakes, which can be made, in a very narrow field.

Niels Bohr

Gummidge’s Law: ‘The amount of expertise varies in inverse proportion to the number of statements understood by the general public.’

A. Bloch

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Further reading material

  • 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.

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  • 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.

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  • 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 ).

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Authors
  1. Mark H. Lee
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© 1989 Mark H. Lee

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Lee, M.H. (1989). Emulating the expert. In: Intelligent robotics. Open University Press Robotics Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-6237-1_8

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  • DOI: https://doi.org/10.1007/978-1-4684-6237-1_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-6239-5

  • Online ISBN: 978-1-4684-6237-1

  • eBook Packages: Springer Book Archive

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