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Immunocomputing

Principles and Applications

  • Book
  • © 2003

Overview

Authors:
  1. A. O. Tarakanov

    1. St. Petersburg Institute for Informatics, Russian Academy of Sciences, St. Petersburg, Russia

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  2. V. A. Skormin

    1. Watson School, Binghamton University, Binghamton, USA

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  3. S. P. Sokolova

    1. St. Petersburg Institute for Informatics, Russian Academy of Sciences, St. Petersburg, Russia

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xi
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  2. Introduction

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 1-12

  3. The Mathematical Basis of Immunocomputing

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 13-39

  4. Pattern Recognition

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 41-60

  5. Language Representation and Knowledge Based Reasoning

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 61-82

  6. Modeling of Natural and Technical Systems

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 83-112

  7. Applications

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 113-144

  8. Immunocomputing Systems: Architecture and Implementation

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 145-182

  9. Conclusion

    • A. O. Tarakanov, V. A. Skormin, S. P. Sokolova
    Pages 183-184

  10. Back Matter

    Pages 185-193
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Keywords

About this book

Overview This book introduces immunocomputing (Ie) as a new computing approach that replicates the principles of information processing by proteins and immune networks. It establishes a rigorous mathematical basis for IC, consistent with recent findings in immunology, and it presents various applications of IC to specific computationally intensive real-life problems. The hardware implementation aspects of the IC concept in an immunocomputer as a new kind of computing medium and its potential connections with modem biological microchips (biochips) and future biomolecular computers (biocomputers) are also discussed. All biological systems at the cellular and biomolecular levels are sophisticated mechanisms honed to perfection by millions of years of evolution, and their exploration provides inspiration for various novel concepts in science and engineering. Of these systems, however, only two types, the neural system and the immune system of the vertebrates, possess the extraordinary capabilities of "intellectual" information processing, which include memory, the ability to learn, to recognize, and to make decisions with respect to unknown situations. The potential of the natural neural system as a biological prototype of a computing scheme has already been utilized intensively in computer science through the mathematical and software models of artificial neural networks (ANN) and their hardware implementation in neural computers (see, e.g., Haykin, 1999; Wasserman, 1990).

Reviews

From the reviews:

"Artificial immune systems, which are the subject of this book, is a new computing area (immunocomputing) inspired by biological processes at the molecular level. … The book is written very well, it is thought provoking, and it mathematically sound. It is a valuable resource for researchers in computer, systems or information sciences, as well as for immunologists. It is also suitable for advanced graduate students in these areas. I highly recommend it to all readers of this journal." (George J. Klir, International Journal of General Systems, Vol. 34 (3), 2005)

"The book under review, introduces immunocomputing as a new computing approach that bridges between immunology and computer engineering. … The book consists of seven chapters, and a conclusion section. In addition, it features an extensive bibliography and glossary of symbols at the end. … This book is recommended for experts in computer science, artificial intelligence and biomolecular computing, immunologists, and students interested in immunocomputing." (Wenzhong Zhao, SIGACT News, Vol. 36 (4), 2005)

Authors and Affiliations

  • St. Petersburg Institute for Informatics, Russian Academy of Sciences, St. Petersburg, Russia

    A. O. Tarakanov, S. P. Sokolova

  • Watson School, Binghamton University, Binghamton, USA

    V. A. Skormin

Bibliographic Information

  • Book Title: Immunocomputing

  • Book Subtitle: Principles and Applications

  • Authors: A. O. Tarakanov, V. A. Skormin, S. P. Sokolova

  • DOI: https://doi.org/10.1007/978-1-4757-3807-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2003

  • Hardcover ISBN: 978-0-387-95533-9

  • Softcover ISBN: 978-1-4419-3041-5

  • eBook ISBN: 978-1-4757-3807-0

  • Edition Number: 1

  • Number of Pages: XI, 193

  • Number of Illustrations: 22 b/w illustrations

  • Topics: Artificial Intelligence, Artificial Intelligence, Theory of Computation

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