Research and Development in Expert Systems IX

M. A. Bramer; R. W. Milne

doi:10.1017/CBO9780511569944

This volume contains the refereed and invited papers which were presented at Expert Systems 92, the twelfth annual conference of the British Computer Society's Specialist Group on Expert Systems, held in Cambridge in December 1992. 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.

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Contents

Frontmatter
pp i-iv
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Contents
pp v-vi
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Preface
pp vii-viii
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Introduction
pp 1-4
- By M. A. Bramer, Department of Information Science University of Portsmouth Locksway Road Milton, Southsea P04 8JF England
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CONSULTANT: providing advice for the machine learning toolbox
pp 5-24
- By S. Craw, Department of Computing Science University of Aberdeen Aberdeen AB9 2UE, D. Sleeman, Department of Computing Science University of Aberdeen Aberdeen AB9 2UE, N. Graner, Department of Computing Science University of Aberdeen Aberdeen AB9 2UE, M. Rissakis, Department of Computing Science University of Aberdeen Aberdeen AB9 2UE, S. Sharma, Department of Computing Science University of Aberdeen Aberdeen AB9 2UE
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A methods model for the integration of KBS and conventional information technology
pp 25-44
- By C. Harris-Jones, BIS Information Systems, Ringway House, 45 Bull Street, Colmore Circus, Birmingham, B4 6AF, T. Barret, BIS Information Systems, Ringway House, 45 Bull Street, Colmore Circus, Birmingham, B4 6AF, T. Walker, Expert Systems Ltd, The Magdalen Centre, Oxford Science Park, Oxford, 0X4 4GA, T. Moores, Aston Business School, Aston University, Aston Triangle, Birmingham, B4 7ET, J. Edwards, Aston Business School, Aston University, Aston Triangle, Birmingham, B4 7ET
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KBS methodology as a framework for co-operative working
pp 45-60
- By J. Kingston, Knowledge Engineering Methods Group AIAI University of Edinburgh
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Project management for the evolutionary development of expert systems
pp 61-74
- By I. Watson, Department of Surveying, University of Salford, SALFORD, M5 4WT.
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The specification and development of rule-based expert systems
pp 75-92
- By P. Maher, Department of Mathematics and Computer Science University of Missouri - St. Louis, St. Louis, MO 63121 USA., O. Traynor, FB 3 Informatik und Mathematik, Universität Bremen, Bremen 33, Germany.
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Towards a method for multi-agent system design
pp 93-106
- By A. Ovalle, Groupe SIC (Integrated Cognitive Systems) Equipe de Reconnaissance des Formes et de Microscopie Quantitative Laboratoire TIM3 - Institut IMAG Bât. CERMO - BP 53X - 38041 Grenoble Cedex, FRANCE, C. Grabay, Groupe SIC (Integrated Cognitive Systems) Equipe de Reconnaissance des Formes et de Microscopie Quantitative Laboratoire TIM3 - Institut IMAG Bât. CERMO - BP 53X - 38041 Grenoble Cedex, FRANCE
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Jigsaw: configuring knowledge acquisition tools
pp 107-124
- By D. R. Pugh, Department of Computer Science University of Wales Aberystwyth Dyfed SY23 3DB United Kingdom, C. J. Price, Department of Computer Science University of Wales Aberystwyth Dyfed SY23 3DB United Kingdom
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On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
pp 125-144
- By M. L. G. Shaw, Knowledge Science Institute University of Calgary Calgary, Alberta, Canada T2N 1N4, B. R. Gaines, Knowledge Science Institute University of Calgary Calgary, Alberta, Canada T2N 1N4
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Strategy maze: an on-line tool for support management of the knowledge acquisition process
pp 145-164
- By N. Y. L. Yue, The Management School, Imperial College of Science, Technology & Medicine, 53 Prince's Gate, Exhibition Road, London SW7 2PG, ENGLAND, B. Cox, The Management School, Imperial College of Science, Technology & Medicine, 53 Prince's Gate, Exhibition Road, London SW7 2PG, ENGLAND
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Concurrent engineering using collaborating truth maintenance systems
pp 165-182
- By C. J. Hinde, Dept. Computer Studies University of Technology Loughborough Leics LE11 3TU., A. D. Bray, Dept. Computer Studies University of Technology Loughborough Leics LE11 3TU.
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Ockham's razor as a gardening tool
pp 183-196
- By R. S. Forsyth, Department of Mathematical Sciences University of the West of England Coldharbour Lane BRISTOL BS16 1QY
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A designer's consultant
pp 197-208
- By J. W. Brahan, Institute for Information Technology National Research Council Ottawa Canada K1A 0R6, B. Farley, Institute for Information Technology National Research Council Ottawa Canada K1A 0R6, R. A. Orchard, Institute for Information Technology National Research Council Ottawa Canada K1A 0R6, A. Parent, Institute for Information Technology National Research Council Ottawa Canada K1A 0R6, C. S. Phan, Institute for Information Technology National Research Council Ottawa Canada K1A 0R6
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Fairness of attribute selection in probabilistic induction
pp 209-224
- By A. P. White, Computer Centre University of Birmingham Birmingham B15 2TT, W. Z. Liu, Computer Centre University of Birmingham Birmingham B15 2TT
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An application of case-based expert system technology to dynamic job-shop scheduling
pp 225-236
- By A. Bezirgan, Institute for Automation, Technical University Vienna Treitlstraβe 3 / 183 / 1, A-1040 Vienna, Austria
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Neural network design via LP
pp 237-252
- By J. P. Ignizio, University of Virginia, W. Baek, Mississippi State University
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KEshell2: an intelligent learning data base system
pp 253-272
- By X. Wu, Department of Artificial Intelligence University of Edinburgh 80 South Bridge. Edinburgh EH1 1HN, UK
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Approaches to self-explanation and system visibility in the context of application tasks
pp 273-284
- By G. A. Ringland, SERC Rutherford Appleton Laboratory. Chilton, Didcot, OXON. 0X11 OQX. United Kingdom., H. R. Chappel, SERC Rutherford Appleton Laboratory. Chilton, Didcot, OXON. 0X11 OQX. United Kingdom., S. C. Lambert, SERC Rutherford Appleton Laboratory. Chilton, Didcot, OXON. 0X11 OQX. United Kingdom., M. D. Wilson, SERC Rutherford Appleton Laboratory. Chilton, Didcot, OXON. 0X11 OQX. United Kingdom., G. J. Doe, SERC Rutherford Appleton Laboratory. Chilton, Didcot, OXON. 0X11 OQX. United Kingdom.
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An object oriented approach to distributed problem solving
pp 285-300
- By A. Eliëns, Vrije Universiteit, Department of Mathematics and Computer Science De Boelelaau 1081, 1081 HV Amsterdam The Netherlands
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Intelligent user interface for multiple application systems
pp 301-316
- By X. Zhang, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, J. L. Nealon, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, R. Lindsay, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
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Combining qualitative and quantitative information for temporal reasoning
pp 317-330
- By H. A. Tolba, CRIN-CNRS and INRIA-Lorraine Campus Scientifique - B.P. 239 54506 Vandœuvre–lès–Nancy Cedex, FRANCE, F. Charpillet, CRIN-CNRS and INRIA-Lorraine Campus Scientifique - B.P. 239 54506 Vandœuvre–lès–Nancy Cedex, FRANCE, J. -P. Haton, CRIN-CNRS and INRIA-Lorraine Campus Scientifique - B.P. 239 54506 Vandœuvre–lès–Nancy Cedex, FRANCE
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Documents as expert systems
pp 331-349
- By B. R. Gaines, Knowledge Science Institute, University of Calgary Calgary, Alberta, Canada T2N 1N4., M. L. G. Shaw, Knowledge Science Institute, University of Calgary Calgary, Alberta, Canada T2N 1N4.
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Research and Development in Expert Systems IX

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Contents

Frontmatter
pp i-iv

Contents
pp v-vi

Preface
pp vii-viii

Introduction
pp 1-4

CONSULTANT: providing advice for the machine learning toolbox
pp 5-24

A methods model for the integration of KBS and conventional information technology
pp 25-44

KBS methodology as a framework for co-operative working
pp 45-60

Project management for the evolutionary development of expert systems
pp 61-74

The specification and development of rule-based expert systems
pp 75-92

Towards a method for multi-agent system design
pp 93-106

Jigsaw: configuring knowledge acquisition tools
pp 107-124

On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
pp 125-144

Strategy maze: an on-line tool for support management of the knowledge acquisition process
pp 145-164

Concurrent engineering using collaborating truth maintenance systems
pp 165-182

Ockham's razor as a gardening tool
pp 183-196

A designer's consultant
pp 197-208

Fairness of attribute selection in probabilistic induction
pp 209-224

An application of case-based expert system technology to dynamic job-shop scheduling
pp 225-236

Neural network design via LP
pp 237-252

KEshell2: an intelligent learning data base system
pp 253-272

Approaches to self-explanation and system visibility in the context of application tasks
pp 273-284

An object oriented approach to distributed problem solving
pp 285-300

Intelligent user interface for multiple application systems
pp 301-316

Combining qualitative and quantitative information for temporal reasoning
pp 317-330

Documents as expert systems
pp 331-349

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Research and Development in Expert Systems IX

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