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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: Emergence, Complexity and Computation, cartea 29

Autor Juan C. Burguillo
en Limba Engleză Hardback – 22 dec 2017
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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Specificații

ISBN-13: 9783319698960
ISBN-10: 3319698966
Pagini: 250
Ilustrații: XVI, 343 p. 187 illus., 149 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Emergence, Complexity and Computation

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

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