Research and Development in Expert Systems IX

M. A. Bramer; R. W. Milne

doi:10.1017/CBO9780511569944

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M. A. Bramer, University of Portsmouth, R. W. Milne

Publisher:: Cambridge University Press
Online publication date:: August 2010
Print publication year:: 1993
Online ISBN:: 9780511569944
DOI:: https://doi.org/10.1017/CBO9780511569944

Subjects:: Computer Science, Artificial Intelligence and Natural Language Processing, Computing: General Interest
Series:: British Computer Society Conference Series

60.00 (GBP)

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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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Research and Development in Expert Systems IX

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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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