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Self-organizing Coalitions for Managing Complexity Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications

by Juan C. Burguillo

Part of the Emergence, Complexity and Computation Series

Self-organizing Coalitions for Managing Complexity Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications Synopsis

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.

Book Information

ISBN: 9783319698960
Publication date: 22nd December 2017
Author: Juan C. Burguillo
Publisher: Springer International Publishing AG
Format: Hardback
Pagination: 343 pages
Categories: Cybernetics & systems theory, Artificial intelligence, Operational research, Mathematical physics,

About Juan C. Burguillo

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