Knowledge-Based Systems for Multiple Environments
eBook - ePub

Knowledge-Based Systems for Multiple Environments

  1. 382 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Knowledge-Based Systems for Multiple Environments

About this book

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.

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Yes, you can access Knowledge-Based Systems for Multiple Environments by Ladislav J. Kohout,John Anderson,Wyllis Bandler in PDF and/or ePUB format, as well as other popular books in Social Sciences & Geography. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2019
Print ISBN
9781138386600
eBook ISBN
9780429761850
Edition
1
Subtopic
Geography

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. TABLE OF CONTENTS
  6. ABOUT THE EDITORS
  7. LIST OF CONTRIBUTORS
  8. PREFACE
  9. PART I MULTIPLE ENVIRONMENTS AND MULTIPLE CONTEXTS IN KNOWLEDGE ENGINEERING
  10. PART II METHODS OF KNOWLEDGE ELICITATION
  11. PART III DESIGN OF KNOWLEDGE-BASED SYSTEMS AND ROBOTS FOR MULTI-ENVIRONMENTAL SITUATIONS
  12. PART IV METHOD FOR DESIGN VALIDATION OF MULTI-ENVIRONMENTAL KNOWLEDGE-BASED SYSTEMS
  13. PART V EPILOGUE
  14. SUBJECT INDEX