Development of a methodology for knowledge elicitation for building expert systems
A critical first step in building expert systems is the extraction of knowledge from human experts. The inability to elicit this knowledge efficiently and accurately ahs considerably impeded the development of expert systems. This thesis develops a conceptual framework and methodology for knowledge elicitation. The conceptual framework is established by generalizing Newell's and Simon's (1972) problem space concept and integrating it with Kelly's (1955) theory of personal constructs. This framework models, in a domain-independent manner, the structure of human problem-solving knowledge and the context in which problems are solved. A Structured Methodology for Eliciting Expertise (SMEE) is derived using the above conceptual framework. The structure of human problem-solving knowledge, specified in the conceptual framework, determines the knowledge elicited by SMEE and the sequence in which it is extracted. The model of the context, provided by the conceptual framework, is employed by SMEE to elicit that knowledge which is used in an automated manner by the expert.
- Research Organization:
- Purdue Univ., Lafayette, IN (USA)
- OSTI ID:
- 5635120
- Country of Publication:
- United States
- Language:
- English
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