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Artificial Immune Systems and Their Applications

  • Book
  • © 1999

Overview

Editors:
  1. Dipankar Dasgupta

    1. Mathematical Sciences Department, University of Memphis, Memphis, USA

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  • Presents computational models of the immune system
  • Insights on how to engineer massively parallel adaptive complex systems
  • Overview of immunity-based methodologies and applications in solving difficult problems
  • A pioneering work on the emerging field of artificial immune systems

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XVII
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  3. Artificial Immune Systems: Modeling & Simulation

    1. Front Matter

      Pages 45-45
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    2. The Central and the Peripheral Immune Systems: What is the Relationship

      • John Stewart, Jorge Carneiro
      Pages 47-64

    3. Immunology Viewed as the Study of an Autonomous Decentralized System

      • A.S Lee, Ruth Lev Bar-Or
      Pages 65-88

    4. Immune Network: An Example of Complex Adaptive Systems

      • Debashish Chowdhury
      Pages 89-104

    5. Immunological Memory is Associative*

      • Derek J. Smith
      Pages 105-114

    6. Estimating and Predicting the Number of Free HIV and T Cells by Nonlinear Kalman Filter

      • Wai-Yuan Tan, Zhihua Xiang
      Pages 115-143

    7. Modeling the Effects of Prior Infection on Vaccine Efficacy

      • D. J. Smith, Stephanie Forrest, D. H. Ackley, A. S. Perelson
      Pages 144-153

  4. Artificial Immune Systems: Applications

    1. Front Matter

      Pages 155-155
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    2. Jisys: The Envelopment of an Artificial Immune System for Real World Applications

      • John Hunt, Jon Timmis, Ennise Cooke, Mark Neal, Clive King
      Pages 157-186

    3. Decentralized Behavior Arbitration Mechanism for Autonomous Mobile Robot Using Immune Network

      • Yuji Watanabe, Akio Ishiguro, Yoshiki Uchikawa
      Pages 187-209

    4. Parallel Search for Multi-Modal Function Optimization with Diversity and Learning of Immune Algorithm

      • Dipankar Dasgupta
      Pages 210-220

    5. Immunized Adaptive Critic for an Autonomous Aircraft Control Application

      • K. K. Kalmanje, J. Neidhoefer
      Pages 221-241

    6. Blueprint for a Computer Immune System *

      • Jeffrey Kephart, Gregory Sorkin, Morton Swimmer, Steve White
      Pages 242-261

    7. An Anomaly Entection Algorithm Inspired by the Immune Syste

      • Dipankar Dasgupta, Stephanie Forrest
      Pages 262-277

    8. Immunity-Based Management System for a Semiconductor Production Line*

      • Toyoo Fukuda, Kazuyuki Mori, Makoto Tsukiyama
      Pages 278-288

  5. Back Matter

    Pages 291-306
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Keywords

About this book

Artificial immune systems are highly distributed systems based on the principles of the natural system. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion. This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response. It will be of professional interest to scientists, academics, vaccine designers, and practitioners.

Editors and Affiliations

  • Mathematical Sciences Department, University of Memphis, Memphis, USA

    Dipankar Dasgupta

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