Self-organizing Coalitions for Managing Complexity

Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Reference & Language, Reference
Cover of the book Self-organizing Coalitions for Managing Complexity by Juan C. Burguillo, Springer International Publishing
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Author: Juan C. Burguillo ISBN: 9783319698984
Publisher: Springer International Publishing Publication: December 13, 2017
Imprint: Springer Language: English
Author: Juan C. Burguillo
ISBN: 9783319698984
Publisher: Springer International Publishing
Publication: December 13, 2017
Imprint: Springer
Language: English

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.

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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.

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