Buch, Englisch, Band 29, 343 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 546 g
Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications
Buch, Englisch, Band 29, 343 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 546 g
Reihe: Emergence, Complexity and Computation
ISBN: 978-3-319-88859-0
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
Weitere Infos & Material
Introduction.- Complex Systems.- Complex Networks.- Cellular Automata.- Multi-agent Systems.- Self-Organization.- Game Theory.- Optimization Models with Coalitional CellularAutomata.- Time Series Prediction using Coalitions and Self-Organizing Maps.