| Description |
1 online resource : color illustrations |
| Series |
SpringerBriefs in complexity |
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SpringerBriefs in complexity.
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| Contents |
Preface; Acknowledgments; Contents; 1 Complexity and Swarming Systems; 2 A Biologically Inspired Approach to Collective Behaviors; 2.1 Collective Animal Behaviors; 2.2 Ethology; 2.3 Why Biological Inspiration?; 2.4 What Nature Teaches Us About Swarming; 2.4.1 Self-Organization and the Importance of Order in Life; 2.4.2 Positive Feedback and the Emergence of Order; 2.4.3 Collective Behavior Without Large-Scale Order; 2.4.4 Information Processing and Swarm Intelligence; References; 3 A Physical Approach to Swarming; 3.1 Self-Organization in Physicochemical Systems |
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3.1.1 Elementary Cellular Automata3.1.2 Collective Phenomena in Physical Systems; 3.1.3 Collective Motion; 3.2 The Self-Propelled Particles (SPP) Model; 3.2.1 Dynamical Foundations; 3.2.2 Neighborhood of Interactions; 3.2.3 Dynamic Update Rule; 3.3 What Statistical Physics Teaches Us; 3.3.1 Phase Transitions; 3.3.2 Scaling and Universality; 3.3.3 Fluctuations, Correlations, Susceptibility, and Nonapparent Collective Behavior; 3.3.4 Nonequilibrium Systems and Self-Organized Criticality; 3.4 What the Theory of Dynamical Systems Teaches Us |
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3.4.1 Bifurcation, Catastrophe, Collapse, and Tipping Point3.4.2 At the Edge of Chaos; 3.5 Inspiration and Swarm Design; References; 4 A Network-Theoretic Approach to Collective Dynamics; 4.1 A Science of Networks; 4.2 Swarm Signaling Networks; 4.3 Network Properties and Swarm Dynamics; 4.3.1 Assembling the Swarm Signaling Network; 4.3.2 Connectedness of the Signaling Network; 4.3.3 Shortest Connecting Path; 4.3.4 Clustering Coefficient; 4.3.5 Degree Distribution; 4.3.6 Resilience of Swarming; 4.3.7 Controllability of Swarming; 4.3.8 Swarm Network Dynamics |
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4.4 Design of Signaling Network for Artificial Swarming4.4.1 Models of Signaling Networks; 4.4.2 Enhanced Swarming Behaviors; 4.4.3 Some Words of Caution; References; 5 An Information-Theoretic Approach to Collective Behaviors; 5.1 Social Information Transmission; 5.2 Role of Information in Collective Behaviors; 5.3 Information Flow in Swarms; 5.3.1 Quantifying Information; 5.3.2 Dynamics of Information Transfer; 5.3.3 Transmission Channels; 5.3.4 Capacity of the Transmission Channel; 5.3.5 Informational Bottlenecks in Collective Behaviors |
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5.3.6 Conditions for the Emergence of Collective Behavior Under Data Rate Limitations5.3.7 Swarming Collapse Under Data Rate Limitations; 5.4 Information and Swarm Design; 5.4.1 Acquisition of Stimuli Information by the Swarm; 5.4.2 Dynamic Balancing of Positive and Negative Feedback Loops; 5.4.3 Leveraging Technological Advances for Novel Swarm Designs; 5.4.4 Coupling Between Information Flow and Agent's Movement; References; 6 A Computational Approach to Collective Behaviors; 6.1 From Collective Behavior to Computation and Information Processing |
| Summary |
The book is about the key elements required for designing, building and controlling effective artificial swarms comprised of multiple moving physical agents. Therefore this book presents the fundamentals of each of those key elements in the particular frame of dynamic swarming, specifically exposing the profound connections between these elements and establish some general design principles for swarming behaviors. This scientific endeavor requires an inter-disciplinary approach: biomimetic inspiration from ethology and ecology, study of social information flow, analysis of temporal and adaptive signaling network of interaction, considerations of control of networked real-time systems, and lastly, elements of complex adaptive dynamical systems. This book offers a completely new perspective on the scientific understanding of dynamic collective behaviors thanks to its multi-disciplinary approach and its focus on artificial swarm of physical agents. Two of the key problems in understanding the emergence of swarm intelligent behaviors are identifying the social interaction rules a.k.a. the behavioral algorithm and uncovering how information flows between swarming agents. While most books about swarm dynamics have been focusing on the former, this book emphasizes the much-less discussed topic of distributed information flow, always with the aim of establishing general design principles |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed October 28, 2015) |
| Subject |
Swarm intelligence.
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Computer algorithms.
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Computational intelligence.
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Algorithms
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algorithms.
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Statistical physics.
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Automatic control engineering.
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Cybernetics & systems theory.
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COMPUTERS -- General.
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Computational intelligence
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Computer algorithms
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Swarm intelligence
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| Form |
Electronic book
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| ISBN |
9789812877512 |
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9812877517 |
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