First published in 1992, this volume identifies the problems facing the designer of multi-environmental knowledge-based systems, and explains the principles that must be followed in order to obtain successful results.
Systems called upon to function in a variety of widely differing cultural and natural environments can only do so satisfactorily if from the very beginning they have been designed with this versatility in mind. For the first time, the know-how for this often formidable design task has been gathered together and presented here.
This study was written to an overall plan, with chapters commissioned from a group of research of quite diversified back-grounds who had deeply explored their subjects. Each topic was thus covered in close connection with the others, so as to form a coherent whole.
While primarily aimed at workers in Artificial Intelligence and Expert Systems, as well as designers of other kinds of sophisticated software, the contents of the book are of wider validity, just as the multi-environmental demands are of wider incidence. Manufactures, exporters and importers of computing technology with a large knowledge component will also find their concerns addressed.
Table of Contents
Part 1. Multiple Environments and Multiple Contexts in Knowledge Engineering. 1. Introducing Multi-Environmental and Multi-Context Knowledge-Based Systems: A New Approach. 2. What is a Multiple Environment and How Does It Affect the Function of a Knowledge-Based System? 3. A Framework for Transfer of Expert Systems Between Environments. 4. Impact of Multiple Environments on the Functioning of Medical and Other Knowledge-Based Systems. 5. Activity Structures: A Methodology for Design of Multi-Environment and Multi-Context Knowledge-Based Systems. Part 2. Methods of Knowledge Elicitation. 6. Knowledge Elicitation – An Exercise in Identification and Verification of Expert Knowledge. 7. Knowledge Elicitation – The First Step Towards the Construction of Expert Systems: The Outline of a Method. 8. Linking Argumentative Discourse with Formal Evaluation Procedures in Design. 9. Problems of Knowledge Elicitation in Insurance. Part 3. Design of Knowledge-Based Systems and Robots for Multi-Environmental Situations. 10. An Overview of Clinaid. 11. Design of Questioning Strategies for Knowledge-Based Systems. 12. Concurrency in Clinaid. 13. Distributed Architectures for Computer Aided Manufacturing (CAM) and Other Embedded Robotic Systems. 14. Towards a Design of a Real-Time Adaptive Robot for Multiple Environments: Part I – Basic Design and the First Experiments. 15. The Design of the House as a System in Multi-Environmental Space. Part 4. Method for Design Validation of Multi-Environmental Knowledge-Based Systems. 16. The Use of Fuzzy Relational Products in Comparison and Verification of Correctness of Knowledge Structures. 17. Development of the Support Tools and Methodology for Design and Validation of Multi-Environmental Computer Architectures. Part 5. Epilogue. 18. Knowledge as a Confidential Marketable Commodity: Cultural Danger or Economic Blessing?