Overview
- Presents self-organizing coalitions and their applications in multiple areas of complex systems
- Includes a basic introduction to game theory, multi-agent systems, complex systems, cellular automata, and self-organization
- Addresses the use of coalitions and evolutionary game theory for optimization using cellular automata models, and for prediction using neural networks
- Offers several experimental models related to self-organization
Part of the book series: Emergence, Complexity and Computation (ECC, volume 29)
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Table of contents (13 chapters)
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Front Matter
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Background
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Front Matter
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Self-organizing Algorithms
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Front Matter
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Evolutionary Games
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Self-organizing Coalitions for Managing Complexity
Book Subtitle: Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications
Authors: Juan C. Burguillo
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-319-69898-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-69896-0Published: 22 December 2017
Softcover ISBN: 978-3-319-88859-0Published: 23 May 2018
eBook ISBN: 978-3-319-69898-4Published: 13 December 2017
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: XVI, 343
Number of Illustrations: 38 b/w illustrations, 149 illustrations in colour
Topics: Complexity, Computational Intelligence, Operations Research/Decision Theory, Applications of Graph Theory and Complex Networks