Self-organizing Coalitions for Managing Complexity

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

Éditeur :

Springer


Collection :

Emergence, Complexity and Computation

Paru le : 2017-12-13

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Description

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.
Pages
343 pages
Collection
Emergence, Complexity and Computation
Parution
2017-12-13
Marque
Springer
EAN papier
9783319698960
EAN PDF
9783319698984

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
25631 Ko
Prix
168,79 €
EAN EPUB
9783319698984

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
6973 Ko
Prix
168,79 €