Knowledge Acquisition For Knowledge Based Systems

Machine Learning and Knowledge Acquisition

Currently, both fields are moving towards an integrated approach using machine learning techniques to automate knowledge acquisition from experts, and knowledge acquisition techniques to guide and assist the learning process.

Knowledge Acquisition for Knowledge-based Systems

Knowledge Acquisition for Knowledge-Based Systems

This volume constitutes the proceedings of the 7th European Knowledge Acquisition Workshop (EKAW `93), held in Toulouse and Caylus, France, in September 1993. Traditionally the EKAW workshops deal with the various aspects of knowledge acquisition as a crucial topic in artificial intelligence as well as in computer science, engineering in general, and cognitive science. EKAW `93 had ist emphasis on knowledge acquisition for knowledge-based systems; besides the scientific workshop on the inter- disciplinary topic of knowledge acquisition there also was offered an open day as a users' forum open to the public. This proceedings contains the best papers presented at the scientific workshop after they had been selected by an international program committee consisting of leading experts in the field. The volume includes two surveys by Guy Boy and Brian Gaines and is divided in two main parts: the first part on problem solving models has sections on building steps, support tools, and comparison of approaches; the second part on life cycle and methodologies is divided in sections on refinement, methodologies, workbenches, and elicitation techniques.