Self-organizing Coalitions for Managing Complexity

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



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Détails du livre

Titre : Self-organizing Coalitions for Managing Complexity
Pages : 343
Collection : Emergence, Complexity and Computation
Parution : 2017-12-13
Éditeur : Springer
EAN papier : 9783319698960
À propos du livre


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.

Format EPUB - Nb pages copiables : 3 - Nb pages imprimables : 34 - Poids : 6973 Ko - - Prix : 168,79 € - EAN : 9783319698984

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