by R-Q Lu (Academia Sinica, China)

It is well recognized that knowledge acquisition is the critical bottleneck of knowledge engineering. This book presents three major approaches of current research in this field, namely the psychological approach, the artificial intelligence approach and the software engineering approach. Special attention is paid to the most recent advances in knowledge acquisition research, especially those made by Chinese computer scientists. A special chapter is devoted to its applications in other fields, e.g. language analysis, software engineering, computer-aided instruction, etc., which were done in China.

• Introduction
• The Psychological Approach:
  • Knowledge Elicitation
  • Personal Constructs and Repertory Grids
  • Protocol Analysis
• The Artificial Intelligence Approach:
  • Inductive Learning
  • Explanation-Based Learning
  • Case-Based Learning
  • Learning From Texts
• The Software Engineering Approach:
  • Knowledge Analysis
  • Knowledge Modeling
  • Combine the Knowledge Acquisition Processes
• Applications:
  • Computer-Aided Grammar Acquisition
  • Discovery of Linguistic Knowledge
  • Expert System Prototyping — AUTOCON
  • Expert System Prototyping — PROTEX
  • Expert System Prototyping — CONBES