Current Trends in Knowledge Acquisition

Bob Wielinga, B. Gaines, Maarten Van Someren

IOS Press, 1990 - Computers - 375 pages

Knowledge acquisition has become a major area of artificial intelligence and cognitive science research. The papers in this book show that the area of knowledge acquisition for knowledge-based systems is still a diverse field in which a large number of research topics are being addressed. However, several main themes run through the papers. First, the issues of integrating knowledge from different sources and K.A. tools is a salient topic in many papers. A second major topic in the papers is that of knowledge modelling. Research in knowledge-based systems emphasises the use of generic models of reasoning and its underlying knowledge. An important trend in the area of knowledge modelling aims at the formalisation of knowledge models. Where the field of knowledge acquisition was without tools and techniques years ago, now there is a rapidly growing body of techniques and tools. Apart from the integrated workbenches already mentioned above, several papers in this book present new tools. Although knowledge acquisition and machine learning have been considered as separate subfields of AI, there is a tendency for the two fields to come together. This publication combines machine learning techniques with more conventional knowledge elicitation techniques. A framework is presented in which reasoning, problem solving and learning together form a knowledge intensive system that can acquire knowledge from its own experience.

Contents

• A Computational Model of KnowledgeIntensive Learning: 1
• Multiple Knowledge Acquisition Strategies in MOLTKE: 21
• Shelley Computer Aided Knowledge Engineering: 41
• Supporting Formal Specifications: 60
• Capturing Design Knowledge for Engineering Trade Studies: 78
• Knowledge Acquisition via Knowledge Integration: 90
• Producing Visuallybased Knowledge Specifications: 105
• Integration of Knowledge from Different: 123
• Development of Second Generation Knowledge: 143
• one label: 160
• Comparison of Inductive and Naive Bayesian Learning Approaches: 190
• On the Use of a Formalized Generic Task Model: 198
• An Automated Laddering Tool: 222
• A Flexible SixStep Program for Defining: 237
• 190: 254
• Methodological Foundations of Keats: 257
• Decision Tree Induction using Domain Knowledge: 276
• Towards Knowledge Acquisition from Domain Books: 289
• CaseOriented Knowledge Acquisition from Texts: 302
• Cases Models or Compiled Knowledge: 339
• First Order Logic Foundation of the KADS Conceptual Model: 356

Bibliographic information

• Title: Current Trends in Knowledge Acquisition; Volume 8 of Frontiers in artificial intelligence and applications, ISSN 0922-6389
• Editors: Bob Wielinga, B. Gaines, Maarten Van Someren
• Publisher: IOS Press, 1990
• ISBN: 9051990367, 9789051990362
• Length: 375 pages
• Subjects: Computers / Artificial Intelligence / General