Conceptual design and analysis methodology for knowledge acquisition for expert systems
The field analysis of Artificial Intelligence, particularly expert systems, has been identified by experts as a technology with the most promise for handling complex information processing needs of modern manufacturing systems. Knowledge acquisition or the process of building the knowledge base for expert systems needs precise and well-formulated methods to pass from being an art to theory. This research in a step in that direction. The approach evolves at the conceptual level from Pask's work on conversation theory which provides the minimal structural requirement for development and validation of the method. An integrated approach is developed with guidelines for structured knowledge elicitation, analysis, and mapping of the verbal data into well-defined object-oriented generic knowledge structures capable of representing both structural and operational knowledge. The research extends and blends the concepts of protocol analysis, object-oriented design, and semantic data modeling into an integrated framework. This methodology, being a domain-independent development, theoretically can be used to acquire knowledge for any expert performance system.
- Research Organization:
- Arizona State Univ., Tempe (USA)
- OSTI ID:
- 7055267
- Country of Publication:
- United States
- Language:
- English
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