Editors:
- Revised second edition includes concise summaries of the research carried out in the last five years on self-organizing systems as well as extending some topics
- Considers several novel applications, extending the range of applicability of self-organizing systems
- Practical case studies examine successful applications of self-organization, identify essential causes for their successes, and propose guiding principles for future developments
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (15 chapters)
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Front Matter
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Introduction
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Front Matter
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Distributed Management and Control
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Front Matter
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Self-Organizing Computation
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Front Matter
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Discussion
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Front Matter
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About this book
How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes?
The last several decades have seen much progress from original ideas of “emergent functionality” and “design for emergence”, to sophisticated mathematical formalisms of “guided self-organization”. And yet the main challenge remains, attracting the best scientific and engineering expertise to this elusive problem.
This book presents state-of-the-practice of successfully engineered self-organizing systems, and examines ways to balance design and self-organization in the context of applications.
As demonstrated in this second edition of Advances in Applied Self-Organizing Systems, finding this balance helps to deal with practical challenges as diverse as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation.
Many algorithms proposed and discussed in this volume are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, neuromorphic circuits, amongst others. Demonstrating the practical relevance and applicability of self-organization, Advances in Applied Self-OrganizingSystems will be an invaluable tool for advanced students and researchers in a wide range of fields.
Keywords
- Adaptation
- Artificial Life
- Bio-inspired Computing
- Bio-inspired Robotics
- Collective Behavior
- Complex Systems
- Decentralized Management
- Distributed Computing
- Distributed Management
- Emergence
- Evolutionary Algorithms
- Immune Networks
- Information Transfer
- Multi-agent Systems
- Pattern Formation
- Self-Organization
- Self-Organizing Computation
- Self-assembly
Editors and Affiliations
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ICT Centre, CSIRO, Marsfield, Australia
Mikhail Prokopenko
Bibliographic Information
Book Title: Advances in Applied Self-Organizing Systems
Editors: Mikhail Prokopenko
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-4471-5113-5
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-5112-8Published: 24 May 2013
Softcover ISBN: 978-1-4471-5899-8Published: 06 June 2015
eBook ISBN: 978-1-4471-5113-5Published: 08 July 2014
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 2
Number of Pages: X, 426
Topics: Artificial Intelligence, Pattern Recognition, Simulation and Modeling, Theory of Computation, Computer Systems Organization and Communication Networks