Advances in Information Systems Science Volume 2
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Julius T.Tou
Advances in Information Systems Science
Advances in
Information Systems Science Volume 2
Contributors l. W. deBakker
Mathematical Center Amsterdam, the Netherlands
B. R. Gaines
Electrical Engineering University of Essex Colchester, Essex, England
Earl Hunt and Walter Makous
Department of Psychology University of Washington Seattle, Washington
Michael E. Senko
IBM Research Laboratory San lose, California
Ya. Z. Tsypkin
Institute of Automation and Remote Control Moscow, USSR
Volume 2
.Advances in
Information Systems Science Edited by
Julius T. Tou College of Engineering University of Florida Gainesville, Florida
Springer Science+ Business Media, LLC 1969
ISBN 978-1-4899-5843-3 ISBN 978-1-4899-5841-9 (eBook) DOI 10.1007/978-1-4899-5841-9
Library of Congress Catalog Card Number 69-12544 © 1969 Springer Science+Business Media New York
Originally published by Plenum Press, New York in 1969. Softcover reprint of the hardcover 1st edition 1969
AII rights reserved No part of this publication may be reproduced in any form without written permission from the publisher
Articles Planned for Future Volumes
v. K. Smirnov (USSR) Marco Schutzenberger and Andre Lentin (France) Satosi Watanabe (USA) Joseph K. Hawkins (USA) Saburo Muroga (USA) Jack Salz (USA) V. A. Kovalevsky (USSR)
C. Gordon Bell and Michael Gold (USA)
Richard J. Pankhurst (England)
Augmentation of Computer Internal Language Level Automata, Language, and Information Feature Compression in Pattern Recognition I mage Processing Principles and Techniques Design Automation via Integer Linear Programming Data Communication in Information Systems Pattern Recognition: Heuristics or Science? Time-Sharing Systems Computer Graphics Software
Preface This volume, the second of a continuing series on information systems science, covers five timely topics with which information systems research is particularly occupied at present. In each chapter, an attempt is made to familiarize the reader with basic background information on the advances discussed, so that this volume may be used independently or in conjunction with Volume 1. This volume is concerned with learning and stochastic computing, the semantics of programming languages, information storage and retrieval, and human information processing. In Chapter 1, Ya. Z. Tsypkin introduces the reader to learning systems which play an important role in artificial intelligence research. He presents the basic principles for a unified approach to the problem of designing learning systems. Examples are given to illustrate the application of learning algorithms to inventory planning, communication, and control problems. In Chapter 2, B. R. Gaines presents the dataprocessing requirements of pattern recognition and machine learning, and introduces the concept of stochastic computing through the representation of analog quantities by the probabilities of discrete events. A comprehensive discussion of the theoretical foundations of stochastic computing and its relationship to other computational
