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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 PDF

358 Pages·1993·4.85 MB·English
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Preview 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

Research and Development in Expert Systems IX THE BRITISH COMPUTER SOCIETY CONFERENCE SERIES Editor: P. HAMMERSLEY The BCS Conference Series aims to report developments of an advanced technical standard undertaken by members of The British Computer Society through the Society's conference organization. The series should be vital reading for all whose work or interest involves computing technology. Volumes in this Series will mirror the quality of papers published in the BCS's technical periodical The Computer Journal and range widely across topics in computer hardware, software, applications and management. 1: SE90, edited by P.A.V. Hall 2: Research & Development in Expert Systems VII, edited by T. Addis & R. Muir 3: People and Computers VI, edited by D. Diaper & N. Hammond 4: Research & Development in Expert Systems VIE, edited by I.M. Graham & R.W. Milne 5: People and Computers VII, edited by A. Monk, D. Diaper & M.D. Harrison 6: Research & Development in Expert Systems DC, edited by M.A. Bramer & R.W. Milne British Computer Society Conference Series 6 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 Edited by M. A. Bramer University of Portsmouth R. W. Milne Intelligent Applications Limited Published on behalf of THE BRITISH COMPUTER SOCIETY by CAMBRIDGE UNIVERSITY PRESS Published by the Press Syndicate of the University of Cambridge The Pitt Building, Trumpington Street, Cambridge CB2 1RP 40 West 20th Street, New York, NY 10011-4211, USA 10 Stamford Road, Oakleigh, Victoria 3166, Australia © British Informatics Society Ltd 1993 First published 1993 Printed in Great Britain at the University Press, Cambridge Library of Congress cataloguing in publication data available British Library cataloguing in publication data available ISBN 0 521 44517 5 Contents Introduction M. A. BRAMER 1 CONSULTANT: providing advice for the machine learning toolbox S. CRAW, D. SLEEMAN, N. GRANER, M. RISSAKIS & S. SHARMA 5 A methods model for the integration of KBS and conventional information technology C. HARRIS-JONES, T. BARRETT, T. WALKER, T. MOORES & J. EDWARDS 25 KBS methodology as a framework for co-operative working J. KINGSTON 45 Project management for the evolutionary development of expert systems I. WATSON 61 The specification and development of rule-based expert systems P. MAHER & O. TRAYNOR 75 Towards a method for multi-agent system design A. OVALLE & C. GARBAY 93 Jigsaw: configuring knowledge acquisition tools D. R. PUGH & C. J. PRICE 107 On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools M. L. G. SHAW & B. R. GAINES 125 Strategy maze: an on-line tool for support management of the knowledge acquisition process N. Y. L. YUE & B. COX 145 Concurrent engineering using collaborating truth maintenance systems C. J. HINDE & A. D. BRAY 165 Ockham's razor as a gardening tool R. S. FORSYTH 183 A designer's consultant J. W. BRAHAN, B. FARLEY, R. A. ORCHARD, A. PARENT & C. S. PHAN 197 Fairness of attribute selection in probabilistic induction A. P. WHITE & W. Z. LIU 209 An application of case-based expert system technology to dynamic job-shop scheduling A. BEZIRGAN 225 Neural network design via LP J. P. IGNIZIO & W. BAEK 237 KEshell2: an intelligent learning data base system X. WU 253 Approaches to self-explanation and system visibility in the context of application tasks G. A. RINGLAND, H. R. CHAPPEL, S. C. LAMBERT, M. D. WILSON & G. J. DOE 273 An object oriented approach to distributed problem solving A. ELIENS 285 Intelligent user interface for multiple application systems X. ZHANG, J. L. NEALON & R. LINDSAY 301 Combining qualitative and quantitative information for temporal reasoning H. A. TOLBA, F. CHARPILLET & J. -P. HATON 317 Documents as expert systems B. R. GAINES & M. L. G. SHAW 331 Preface This volume contains the refereed papers presented in the technical stream at Expert Systems '92, the twelfth annual conference of the British Computer Society Specialist Group on Expert Systems, held at Churchill College, Cambridge in December 1992. On behalf of the programme committee I should like to thank those who took part in the refereeing this year. Their names are listed below. I should also like to thank all those who have contributed to the organisation of this conference, in particular Rob Milne who again acted as the chairman of the conference organising committee and Ian Graham who organised the applications stream of the conference. Thanks are also due to this year's conference organisers, Applied Workstations Limited, for their many efforts in making this conference possible, not least for their help in the preparation of this volume. Max Bramer Programme Chairman. Expert Systems '92 Conference Organising Committee Rob Milne (Conference Chairman) Max Bramer (Programme Chairman) Alex Goodall Ian Graham (Organiser of Applications Stream) David Lloyd Ann Macintosh Programme Committee Max Bramer (Chairman) Tom Addis Ian Graham David Lloyd Ann Macintosh Robin Muir Tim Rajan Referees fin addition to Programme Committee members) Alan Black Jonathan Killin Paul Brna John Kingston Flavio S Correa da Silva Ian Lewin Brian Drabble Rob Milne Ian Filby Dave Robertson Terry Fogarty Nigel Shadbolt Richard Forsyth Peter Sharpe Ian Harrison Gail Swaffield Sheila Hughes Mike Uschold Richard Kamm Mike Yearworth Introduction and Overview M.A.BRAMER Department of Information Science University of Portsmouth Locksway Road Milton, Southsea P04 8JF England In 1980, when the British Computer Society's Specialist Group on Expert Systems was established, it was remarked that the number of operational expert systems in the world could be counted on the fingers of one mutilated hand. Expert Systems and its parent field Artificial Intelligence, which were then barely known outside a few specialist academic institutions, are now accepted parts of most degree courses in Computer Science. Moreover, the history of expert systems in the last ten years is a highly successful example of technology transfer from the research laboratory to industry. Today there are thousands, possibly tens of thousands of expert systems in use world-wide. They cover a very wide range of application areas, from archaeology, through munitions disposal to welfare benefits advice (see, for example, Bramer 1987, 1988, 1990). Many of these systems are small-scale, developed in a few months (or even weeks) and often comprising just a few hundred rules. However, even relatively straightforward expert systems can still frequently be of great practical and commercial value. The Department of Trade and Industry recently produced a series of 12 case studies of commercially successful expert system applications in the UK which included systems for tasks as diverse as product design at Lucas Engineering, corporate meetings planning at Rolls-Royce and personnel selection at Marks and Spencer (DTI, 1990). However, despite explosive growth in the last ten years, it seems clear that we are still only scratching the surface of possible applications. Although much of the early work was concerned with standalone systems - particularly consultation systems - which were principally rule-based, both the computational techniques employed and the nature of the systems themselves have broadened considerably in recent years.

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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 re
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