Research and development in expert systems IX : proceedings of Expert Systems 92, the Twelfth Annual Technical Conference of the British Computer Society Specialist group on Expert Systems, London, December 1992

This volume contains the refereed and invited papers presented at Expert Systems 92. The papers included in this volume cover advances in a number of important areas, notably methodology, knowledge acquisition, knowledge-based systems techniques, machine learning, and knowledge representation and reasoning. Together with its predecessors this is essential reading for those who wish to keep up to date with developments and opportunities in this important field. Contents......Page 6 Introduction and Overview......Page 10 CONSULTANT: Providing Advice for the Machine Learning Toolbox*......Page 14 A Methods Model for the Integration of KBS and Conventional Information Technology......Page 34 KBS Methodology as a framework for Co-operative Working......Page 54 Project Management for the Evolutionary Development of Expert Systems......Page 70 The Specification and Development of Rule-BasedExpert Systems......Page 84 Jigsaw: Configuring knowledge acquisition tools......Page 116 On the Relationship between Repertory Grid and Term Subsumption Knowledge Structures: Theory, Practice and Tools......Page 134 STRATEGY MAZE: An On-line Tool for Supporting Management of the Knowledge Acquisition Process......Page 154 Concurrent Engineering using Collaborating Truth Maintenance Systems......Page 174 OCKHAM'S RAZOR AS A GARDENING TOOL......Page 192 A Designer's Consultant......Page 206 Fairness of Attribute Selection In Probabilistic Induction......Page 218 An Application of Case-Based Expert System Technology to Dynamic Job-Shop Scheduling......Page 234 Neural Network Design via LP......Page 246 KEshell2: An Intelligent Learning Data Base System......Page 262 Approaches to Self-Explanation and System Visibility in the Context of Application Tasks.......Page 282 An object oriented approach to distributed problem solving......Page 294 Intelligent User Interface for Multiple Application Systems......Page 310 Combining Qualitative and Quantitative Information for Temporal Reasoning......Page 326 The Machine Learning Toolbox (MLT), an Esprit project (P2154), provides an integrated toolbox of ten Machine Learning (ML) algorithms.