Research and Development in Expert Systems IX

1. Consultant: providing advice for the machine learning toolbox; 2. A method model for the integration of KBS and conventional information technology; 3. KBS methodology as a framework for co-operative working; 4. Project management for the evolutionary development of expert systems; 5. The specification and development of rule based expert systems; 6. Towards a method for multi-agent system design; 7. Jigsaw: configuring knowledge acquisition tools; 8. On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools; 9. Strategy maze: an on-line tool for support management of knowledge acquisition process; 10. Concurrent engineering using truth maintenance systems; 11. Ockham's razor as a gardening tool; 12. A designer's consultant; 13. Fairness of attribute selection in probabilistic induction; 14. An application of case-based expert system technology to dynamic job-shop scheduling; 15. Neural network design via LP; 16. KEshell2: an intelligent learning database system; 17. Approaches to self-explanation and system visibility in the context of application tasks; 18. An object oriented approach to distributed problem solving; 19. Intelligent user interface for multiple application systems; 20. Combining qualitative and quantitative information for temporal reasoning.