Design and control of swarm dynamics. ([2016])
- Record Type:
- Book
- Title:
- Design and control of swarm dynamics. ([2016])
- Main Title:
- Design and control of swarm dynamics
- Further Information:
- Note: Roland Bouffanais.
- Authors:
- Bouffanais, Roland
- 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. 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. 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; 4.3.3Preface; 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. 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. 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. 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. 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. … (more)
- Publisher Details:
- Heidelberg : Springer
- Publication Date:
- 2016
- Copyright Date:
- 2016
- Extent:
- 1 online resource, color illustrations
- Subjects:
- 006.3
Engineering
Swarm intelligence
Computer algorithms
Computational intelligence
COMPUTERS -- General
Computational intelligence
Computer algorithms
Swarm intelligence
Science -- Physics
Technology & Engineering -- Automation
Science -- Mathematical Physics
Statistical physics
Automatic control engineering
Statistical physics
Technology & Engineering -- General
Cybernetics & systems theory
Electronic books - Languages:
- English
- ISBNs:
- 9789812877512
9812877517 - Related ISBNs:
- 9789812877505
9812877509
9789812877505 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed October 28, 2015). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.341324
- Ingest File:
- 01_291.xml