Abstract
A model of knowledge-acquisition for knowledge-based systems is developed which presents the acquisition activity as playing an essential and continuous role in skilled performance, rather than as a separate and separable activity. The practical implications of this model for systems design are developed, and recommendations made targeted on monitoring the quality of advice from expert systems and achieving closer integration between the application of these systems and the formation of expertise. The model is developed in depth to generate taxonomies of human knowledge processes and use these to analyse the roles of a wide variety of computer-based systems in supporting these processes. The model is used to highlight strengths and weaknesses in the current state of the art in knowledge representation. This paper provides an overall framework for the variety of knowledge acquisition problems, techniques and technologies discussed in the literature.
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