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Immunity-Based Systems: A Design Perspective: Advanced Information Processing

Autor Yoshiteru Ishida
en Limba Engleză Hardback – 5 apr 2004
After I came to know Jerne's network theory on the immune system, I became fascinated with the immune system as an information system. The main pro­ totypes for biological information systems have been the neural systems and the brain. However, the immune system is not only an interesting informa­ tion system but it may provide a design paradigm for artificial information systems. With such a consideration, I initiated a project titled "autonomous decentralized recognition mechanism of the immune network and its applica­ tion to distributed information processing" in 1990 under a Grant-in-Aid for Scientific Research on a Priority Area ("Autonomous Distributed Systems") supported by the Ministry of Education, Science, and Culture. During the project, I promoted the idea that the immune system could be a prototype of autonomous distributed systems. After the project, we organized an international workshop on immunity­ based systems in 1996 in conjunction with the International Conference on Multi-Agent Systems held in Kyoto, Japan. Recently, there have been several international conferences related to topics inspired by the immune system and an increasing number of research papers related to the topic. In writing this book, a decade after the project, I still believe that the immune system can be a prototype, a compact but sophisticated system that nature has shown us for building artificial information systems in this network age of the twenty-first century.
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Specificații

ISBN-13: 9783540008965
ISBN-10: 3540008969
Pagini: 196
Ilustrații: XII, 177 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Advanced Information Processing

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

1 Introduction.- 2 Toward a Systems Science for Biological Systems.- 3 The Immune System as an Information System.- 4 Defining Immunity-Based Systems.- 5 A Self-Organizing Network Based on the Concept of the Immune Network.- 6 Sensor Networks Using the Self-Organizing Network.- 7 A Multiagent Framework Learned from the Immune System.- 8 An Application of the Immune Algorithm with an Agent Framework.- 9 Information Flow, Biological Field, and Autonomous Distributed Systems.- 10 The Immune System as a Self-Defining Process.- 11 Conclusions.- References.

Caracteristici

Includes supplementary material: sn.pub/extras