
Artificial Immune Systems: A New Computational Intelligence Approach
Springer (Publisher)
Published on 23. September 2002
Book
Paperback/Softback
XVIII, 380 pages
978-1-85233-594-6 (ISBN)
Description
Recently there has been a growing interest in the use of the biological immune system as a source of inspiration for solving complicated computational problems. The immune system involves many information-processing abilities including pattern recognition, learning, memory and inherent distributed parallel processing and for these, and other reasons, it has received a significant amount of interest as a metaphor within computing. This emerging field is known as Artificial Immune Systems (AIS), and applications of AIS include, machine learning, fault diagnosis, computer security, scheduling, virus detection and optimisation.
Reviews / Votes
From the reviews:
"This book reminds me a situation about 20 years ago, when the renaissance of an artificial neural net (ANN) had started. . I consider this book to be very recommendable for reading to everybody who is interested in progressive aspects of artificial intelligence and information technologies." (M. Novák, Neural Network World, Vol. 13 (4), 2003)
More details
Edition
2002 ed.
Language
English
Place of publication
London
United Kingdom
Target group
Primary & secondary/elementary & high school
Graduate
Illustrations
XVIII, 380 p.
Dimensions
Height: 233 mm
Width: 155 mm
Thickness: 21 mm
Weight
570 gr
ISBN-13
978-1-85233-594-6 (9781852335946)
DOI
10.1007/b84437
Schweitzer Classification
Content
Introduction.- Fundamentals of the Immune System.- A Framework for Engineering Artificial Immune Systems.- A Survey of Artificial Immune Systems.- The Immune System in Context with Other Biological Systems.- AIS in Context with Other Computational Intelligence Paradigms.- Case Studies.- Conclusions and Future Trends.- References.- Appendix I: Glossary of Biological Terms.- Appendix II: Pseudocode for Immune Algorithms.- Appendix III: WEB Resources on Artificial Immune Systems. Index.