Self-organizing Coalitions for Managing Complexity
Burguillo, Juan C.
Self-organizing Coalitions for Managing Complexity Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / [electronic resource] : by Juan C. Burguillo. - 1st ed. 2018. - XVI, 343 p. 187 illus., 149 illus. in color. online resource. - Emergence, Complexity and Computation, 29 2194-7287 ; . - Emergence, Complexity and Computation, 29 .
Acceso multiusuario
Introduction.- Complex Systems -- Complex Networks.- Cellular Automata.- Multi-agent Systems -- Self-Organization.- Game Theory.- Optimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps.
This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master's students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
9783319698984
Computational complexity.
Computational intelligence.
Operations research.
Decision making.
Physics.
Complexity.
Computational Intelligence.
Operations Research/Decision Theory.
Applications of Graph Theory and Complex Networks.
QA267.7
620
Self-organizing Coalitions for Managing Complexity Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / [electronic resource] : by Juan C. Burguillo. - 1st ed. 2018. - XVI, 343 p. 187 illus., 149 illus. in color. online resource. - Emergence, Complexity and Computation, 29 2194-7287 ; . - Emergence, Complexity and Computation, 29 .
Acceso multiusuario
Introduction.- Complex Systems -- Complex Networks.- Cellular Automata.- Multi-agent Systems -- Self-Organization.- Game Theory.- Optimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps.
This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master's students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.
9783319698984
Computational complexity.
Computational intelligence.
Operations research.
Decision making.
Physics.
Complexity.
Computational Intelligence.
Operations Research/Decision Theory.
Applications of Graph Theory and Complex Networks.
QA267.7
620
