Knowledge Refinement During Developmental and Field Validation of Expert Systems

Neli P. Zlatareva

To ensure that expert system (ES) performance remains above the level of acceptance throughout the entire life cycle of the system, its knowledge base must periodically be updated and upgraded. In this paper, we review refinement activities taking place during ES development and exploitation, and outline a domain-independent refinement framework intended to support them.

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