Intelligent Algorithms in Ambient and Biomedical Computing
The rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data, the role of intelligent
- PDF / 5,570,713 Bytes
- 329 Pages / 480.824 x 692.712 pts Page_size
- 13 Downloads / 229 Views
P h i l i p s R e s e a r c h B o o k S e r i e s Vo l u m e 7
Intelligent Algorithms in Ambient
Intelligent Algorithms in Ambient and Biomedical Computing Edited by
Wim Verhaegh, Emile Aarts and Jan Korst
Intelligent Algorithms in Ambient and Biomedical Computing
Philips Research VOLUME 7
Editor-in-Chief
Dr. Frank Toolenaar Philips Research Laboratories, Eindhoven, The Netherlands
SCOPE TO THE ‘PHILIPS RESEARCH BOOK SERIES’ As one of the largest private sector research establishments in the world, Philips Research is shaping the future with technology inventions that meet peoples’ needs and desires in the digital age. While the ultimate user benefits of these inventions end up on the high-street shelves, the often pioneering scientific and technological basis usually remains less visible. This ‘Philips Research Book Series’ has been set up as a way for Philips researchers to contribute to the scientific community by publishing their comprehensive results and theories in book form. Dr. Rick Harwig
Intelligent Algorithms in Ambient and Biomedical Computing
Edited by
Wim Verhaegh Philips Research Laboratories, Eindhoven, The Netherlands
Emile Aarts Philips Research Laboratories, Eindhoven, The Netherlands
and
Jan Korst Philips Research Laboratories, Eindhoven, The Netherlands
A C.I.P. Catalogue record for this book is available from the Library of Congress.
ISBN-10 ISBN-13 ISBN-10 ISBN-13
1-4020-4953-6 (HB) 978-1-4020-4953-8 (HB) 1-4020-4995-1 (e-book) 978-1-4020-4995-8 (e-book)
Published by Springer, P.O. Box 17, 3300 AA Dordrecht, The Netherlands. www.springer.com
Printed on acid-free paper
All Rights Reserved © 2006 Springer No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed in the Netherlands.
Contents
Contributing Authors Preface
xvii
Acknowledgments Part I
xi
xxi
Healthcare
1. Bioscience Computing and the Role of Computational Simulation in Biology Christopher D. Clack 1.1. Introduction to bioscience computing 1.2. Simulating adaptive behaviour 1.3. Impact and future directions for bioscience computing 1.4. Summary and conclusions References 2. The Many Strands of DNA Computing Nevenka Dimitrova 2.1. Introduction 2.2. DNA computing 2.3. Synthetic biology 2.4. Conclusion and future directions References 3. Bio-Inspired Data Management Martin L. Kersten and Arno P.J.M. Siebes 3.1. Introduction 3.2. Data cell overview 3.3. The communication infrastructure 3.4. The life cycle 3.5. Application challenges 3.6. Conclusion References
3 3 8 15 16 17 21 21 22 31 33 34 37 37 40 46 49 51 54 55
vi
Contents
4. An Introduction to Machine Consciousness Kees van Zon 4.1. Introduction 4.2. Biological consciousness 4.3. Machine cons
Data Loading...
