Overview
- Focuses on self-repair networks which originated as an extension of Immunity-based Systems
- Presents a game theoretic approach to networks with special focus on mechanism design by selfish agents
- Presents logics, dynamics and applications of Self-Repair Networks
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 101)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book describes the struggle to introduce a mechanism that enables next-generation information systems to maintain themselves. Our generation observed the birth and growth of information systems, and the Internet in particular. Surprisingly information systems are quite different from conventional (energy, material-intensive) artificial systems, and rather resemble biological systems (information-intensive systems). Many artificial systems are designed based on (Newtonian) physics assuming that every element obeys simple and static rules; however, the experience of the Internet suggests a different way of designing where growth cannot be controlled but self-organized with autonomous and selfish agents. This book suggests using game theory, a mechanism design in particular, for designing next-generation information systems which will be self-organized by collective acts with autonomous components. The challenge of mapping a probability to time appears repeatedly in many forms throughout this book.
The book contains interdisciplinary research encompassing game theory, complex systems, reliability theory and particle physics. All devoted to its central theme: what happens if systems self-repair themselves?
Authors and Affiliations
Bibliographic Information
Book Title: Self-Repair Networks
Book Subtitle: A Mechanism Design
Authors: Yoshiteru Ishida
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-26447-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-26445-5Published: 06 January 2016
Softcover ISBN: 978-3-319-79955-1Published: 30 March 2018
eBook ISBN: 978-3-319-26447-9Published: 22 December 2015
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXII, 157
Number of Illustrations: 38 b/w illustrations, 12 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods, Complexity