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Some requirements and suggestions for a methodology to develop knowledge based systems
D W Green1, M Colbert1, J Long1
1a Department of Psychology and Ergonomics Unit , University College London , 26 Bedford Way , London , WC1H 0AP.
This paper presents a systems approach methodology for developing knowledge-based systems. It models organizations as consultation networks, outlining a cognitive model for expertise coordination and knowledge elicitation.
Area of Science:
- Artificial Intelligence
- Knowledge Management
- Cognitive Science
Background:
- Developing knowledge-based systems (KBS) requires robust methodologies.
- Existing approaches may not adequately address organizational expertise coordination.
- A systematic framework is needed for KBS development.
Purpose of the Study:
- To propose a methodology for developing knowledge-based systems.
- To define requirements for KBS development and suggest methods to meet them.
- To illustrate the approach using knowledge elicitation methods.
Main Methods:
- Adopting a systems approach to satisfy general KBS development requirements.
- Modeling organizations as networks of consultations to coordinate expertise.
- Outlining a cognitive model based on a blackboard architecture.
Main Results:
- Demonstrated how a systems approach can fulfill general KBS requirements.
- Provided a framework for viewing organizations as consultation networks.
- Illustrated the practical value of the methodology through knowledge elicitation examples.
Conclusions:
- The proposed methodology offers a structured approach to KBS development.
- Viewing organizations as consultation networks is key for expertise coordination.
- The cognitive model and elicitation methods support practical KBS implementation.
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