| Description |
1 online resource |
| Series |
Advanced information and knowledge processing, 1610-3947 |
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Advanced information and knowledge processing.
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| Contents |
Introduction. Design Versus Self-Organization / Mikhail Prokopenko -- Foundations and Formalizations of Self-Organization / Daniel Polani -- Distributed Management and Control. Self-Organizing Traffic Lights: A Realistic Simulation / Seung-Bae Cools, Carlos Gershenson, Bart D'Hooghe -- Self-Organizing Sensing of Structures: Monitoring a Space Vehicle Thermal Protection System / Nigel Hoschke, Don C. Price, D. Andrew Scott -- Decentralised Decision Making for Ad-hoc Multi-Agent Systems / George Mathews, Hugh Durrant-Whyte -- Learning Mutation Strategies for Evolution and Adaptation of a Simulated Snakebot / Ivan Tanev -- Self-Organization as Phase Transition in Decentralized Groups of Robots: A Study Based on Boltzmann Entropy / Gianluca Baldassarre -- Distributed Control of Microscopic Robots in Biomedical Applications / Tad Hogg -- Self-Organizing Computation. Self-Organizing Computing Systems: Songline Processors / Nicholas J. Macias, Lisa J.K. Durbeck -- Self-Organizing Nomadic Services in Grids / Tino Schlegel, Ryszard Kowalczyk -- Immune System Support for Scheduling / Young Choon Lee, Albert Y. Zomaya -- Formal Immune Networks: Self-Organization and Real-World Applications / Alexander O. Tarakanov, Alla V. Borisova -- A Model for Self-Organizing Data Visualization Using Decentralized Multi-Agent Systems / Andrew Vande Moere -- Memristive Excitable Automata: Structural Dynamics, Phenomenology, Localizations and Conductive Pathways / Andrew Adamatzky, Leon Chua -- Discussion. A Turing Test for Emergence / Fabio Boschetti, Randall Gray |
| Summary |
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-Organizing Systems will be an invaluable tool for advanced students and researchers in a wide range of fields |
| Analysis |
Computer science |
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Computer network architectures |
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Information theory |
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Artificial intelligence |
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Computer simulation |
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Optical pattern recognition |
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Pattern Recognition |
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Simulation and Modeling |
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Theory of Computation |
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Computer Systems Organization and Communication Networks |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| Subject |
Self-organizing systems.
|
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Self-organizing systems -- Data processing.
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Computer systems.
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Computer Systems
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SCIENCE -- System Theory.
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TECHNOLOGY & ENGINEERING -- Operations Research.
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Computer systems
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Self-organizing systems
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Self-organizing systems -- Data processing
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| Form |
Electronic book
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| Author |
Prokopenko, Mikhail.
|
| ISBN |
9781447151135 |
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1447151135 |
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1447151127 |
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9781447151128 |
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