Book contents
- Frontmatter
- Contents
- Preface
- Introduction
- CONSULTANT: providing advice for the machine learning toolbox
- A methods model for the integration of KBS and conventional information technology
- KBS methodology as a framework for co-operative working
- Project management for the evolutionary development of expert systems
- The specification and development of rule-based expert systems
- Towards a method for multi-agent system design
- Jigsaw: configuring knowledge acquisition tools
- On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
- Strategy maze: an on-line tool for support management of the knowledge acquisition process
- Concurrent engineering using collaborating truth maintenance systems
- Ockham's razor as a gardening tool
- A designer's consultant
- Fairness of attribute selection in probabilistic induction
- An application of case-based expert system technology to dynamic job-shop scheduling
- Neural network design via LP
- KEshell2: an intelligent learning data base system
- Approaches to self-explanation and system visibility in the context of application tasks
- An object oriented approach to distributed problem solving
- Intelligent user interface for multiple application systems
- Combining qualitative and quantitative information for temporal reasoning
- Documents as expert systems
Strategy maze: an on-line tool for support management of the knowledge acquisition process
Published online by Cambridge University Press: 04 August 2010
- Frontmatter
- Contents
- Preface
- Introduction
- CONSULTANT: providing advice for the machine learning toolbox
- A methods model for the integration of KBS and conventional information technology
- KBS methodology as a framework for co-operative working
- Project management for the evolutionary development of expert systems
- The specification and development of rule-based expert systems
- Towards a method for multi-agent system design
- Jigsaw: configuring knowledge acquisition tools
- On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
- Strategy maze: an on-line tool for support management of the knowledge acquisition process
- Concurrent engineering using collaborating truth maintenance systems
- Ockham's razor as a gardening tool
- A designer's consultant
- Fairness of attribute selection in probabilistic induction
- An application of case-based expert system technology to dynamic job-shop scheduling
- Neural network design via LP
- KEshell2: an intelligent learning data base system
- Approaches to self-explanation and system visibility in the context of application tasks
- An object oriented approach to distributed problem solving
- Intelligent user interface for multiple application systems
- Combining qualitative and quantitative information for temporal reasoning
- Documents as expert systems
Summary
ABSTRACT
This paper describes an on-line system which serves to support the management of the Knowledge Acquisition Process. Research on Knowledge Acquisition has tended to focus on the difficulties encountered in the elicitation of cognitive processes from the human expert with less emphasis being placed on the specific difficulties encountered in the management of Knowledge-Based Systems projects. The results of empirical research undertaken by the authors identified the need for improved rigour in the management of the Knowledge Acquisition Process [Yue & Cox, 1991, 1992a,b]. The Strategy Maze is the implementation of these results.
The goal of the Strategy Maze is to reduce and prevent risks to Knowledge Acquisition projects through improved management. The Strategy Maze identifies those management issues which must be addressed at the planning and implementation stages of the project if risk is to be minimised. The system consists of three levels: the Scoping Level which is designed to reduce and prevent those risks arising from the lack of clear project definition; the Requirements Analysis Level which provides a comprehensive checklist of the tasks and activities which need addressing prior to implementation of the project; and the Implementation Level which assists in the reduction and prevention of potential project risks during the implementation, monitoring, and control stages of the project.
INTRODUCTION
Knowledge-Based Systems (KBS) differ from conventional computer systems in their degree of dependence upon the elicitation, representation and emulation of human knowledge.
- Type
- Chapter
- Information
- Research and Development in Expert Systems IX , pp. 145 - 164Publisher: Cambridge University PressPrint publication year: 1993