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Building Models of Expertise

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Exploring Expertise

Abstract

The development and use of expert systems has grown rapidly since the early 1980s. Such systems are increasingly employed by industrial firms. Expert systems (also called knowledge-based systems) are computer based systems that exhibit levels of performance comparable with human experts in some specified domain of application. Knowledge engineering is an emerging discipline which underpins the development of expert systems. It is arguably the most technologically sophisticated approach to expertise currently available. Consequently an overview of some of the problems that beset knowledge engineering is of direct relevance to a more general discussion on the nature of expertise. This chapter is structured around a set of problems that dominate the current state of the art in knowledge acquisition (KA), an important part of knowledge engineering.

A modified version of this paper also appears in F. Schmalholfer, G. Strube and Th. Wetter (eds) Springer-Verlag, Heidelberg. Contemporary Knowledge Engineering and Cognition. Moreover, since this work was reported, a considerable amount of new research has been completed. Reviews of some of these developments can be found in, for example (Shadbolt et al., 1993; Shadbolt and O’Hara, 1997; Terpstra et al., 1993).

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Authors
  1. Nigel Shadbolt
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Editor information

Robin Williams Wendy Faulkner James Fleck

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© 1998 Nigel Shadbolt

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Shadbolt, N. (1998). Building Models of Expertise. In: Williams, R., Faulkner, W., Fleck, J. (eds) Exploring Expertise. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-13693-3_5

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