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Computer Science - Artificial Intelligence | Advances in Applied Self-Organizing Systems

Advances in Applied Self-Organizing Systems

Prokopenko, Mikhail (Ed.)

2nd ed. 2013, X, 426 p. 147 illus.

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  • 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

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.

Content Level » Research

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

Related subjects » Artificial Intelligence - Communication Networks - Image Processing - Theoretical Computer Science

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