Expert knowledge elicitation to improve mental and formal models

Includes bibliographical references (p. 24-25).Supported by the Python organization, the Organizational Learning Center and the System Dynamics Group at the MIT Sloan School of Management.David N. Ford and John D. Sterman

A Knowledge Engineering Method for New Product Development

International audienceEngineering activities involve large groups of people from different domains and disciplines. They often generate important information flows that are difficult to manage. To face these difficulties, a knowledge engineering process is necessary to structure the information and its use. This paper presents a deployment of a knowledge capitalization process based on the enrichment of MOKA methodology to support the integration of Process Planning knowledge in a CAD System. Our goal is to help different actors to work collaboratively by proposing one referential view of the domain, the context and the objectives assuming that it will help them in better decision-making

Eliciting Expertise

Since the last edition of this book there have been rapid developments in the use and exploitation of formally elicited knowledge. Previously, (Shadbolt and Burton, 1995) the emphasis was on eliciting knowledge for the purpose of building expert or knowledge-based systems. These systems are computer programs intended to solve real-world problems, achieving the same level of accuracy as human experts. Knowledge engineering is the discipline that has evolved to support the whole process of specifying, developing and deploying knowledge-based systems (Schreiber et al., 2000) This chapter will discuss the problem of knowledge elicitation for knowledge intensive systems in general

Processing Knowledge to Support Knowledge Based Engineering Systems Specification

International audienceDuring design phase, engineering activities typically involve large groups of people from different domains and disciplines. These differences often generate important information flows that are difficult to manage. To face these difficulties, a knowledge engineering process is necessary to structure the information and its use This article, presents a deployment of a knowledge capitalization process based on the enrichment of Methodology and tools Oriented to Knowledge based engineering Applications methodology to support the integration of Process Planning knowledge in a CAD System. Our goal is to help different actors to work collaboratively by proposing one referential view of the domain, the context and the objectives assuming that it will help them in better decision-making