Abstract
The initial success of expert system (ES) developments (Gevarter, 1983; Michie, 1979; Reitman, 1984) and the development of a number of reasonably domain-independent software support systems for the encoding and application of knowledge (Hayes-Roth et al., 1983) have opened up the possibility of widespread usage of ESs. In particular, the Japanese Fifth Generation Computing System (FGCS) development program (Gaines, 1984; Moto-oka, 1982) assumes this will happen and is targeted on knowledge processing rather than information processing. However, what Feigenbaum (1980) terms knowledge engineering, the reduction of a large body of knowledge to a precise set of facts and rules, has already become a major bottleneck impeding the application of ESs in new domains. We need to understand more about the nature of expertise in itself (Hawkins, 1983) and to be able to apply this knowledge to the elicitation of expertise in specific domains.
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Shaw, M.L.G., Gaines, B.R. (1987). An Interactive Knowledge-Elicitation Technique Using Personal Construct Technology. In: Kidd, A.L. (eds) Knowledge Acquisition for Expert Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1823-1_6
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DOI: https://doi.org/10.1007/978-1-4613-1823-1_6
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