TY  - BOOK
AU  - Burguillo,Juan C.
ED  - SpringerLink (Online service)
TI  - Self-organizing Coalitions for Managing Complexity: Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications 
T2  - Emergence, Complexity and Computation,
SN  - 9783319698984
AV  - QA267.7 
U1  - 620 23
PY  - 2018///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computational complexity
KW  - Computational intelligence
KW  - Operations research
KW  - Decision making
KW  - Physics
KW  - Complexity
KW  - Computational Intelligence
KW  - Operations Research/Decision Theory
KW  - Applications of Graph Theory and Complex Networks
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-69898-4
ER  -