Agent-Based Modeling and Network Dynamics

The authors take a new look at agent-based modeling and network science. They investigate the complex network structures of interacting agents and discuss consensus formation in networks including regular and stubborn agents. The results may be applied to buyer-seller networks, to labor markets and world trade, to systemic risks and to defense strategies. The book is of high interest to all scientists of economics, social sciences, computer science, physics and biology working on agent based models.

Prof. Dr. Akira Namatame received his Ph. D from Stanford University, USA, in 1979. He joined the Department of Computer Science at Japan Defense Academy in 1988. He was a visiting Professor at George Mason University, USA, and Bandung Institute of Technology, Indonesia. His research interests include multi-agents, evolutionary computation, game theory, social simulation, and computational social sciences. He has published 10 books and more than 250 refereed journal or conference papers. He is the editor-in-chief of "the journal of Economic Interaction and Coordination". Details of Akira Namatame can be found at http://www.nda.ac.jp/~nama. Prof. Dr Shu-Heng Chen Dr. holds a M.A. degree in mathematics and a Ph. D. in Economics from the University of California at Los Angeles, USA. He has more than 150 publications in international journals, edited volumes and conference proceedings. He has been invited to give keynote speeches and plenary talks on many international conferences. He also serves as the editor-in-chief of the Journal of New Mathematics and Natural Computation (World Scientific). Details of Shu-Heng Chen can be found at http://www.aiecon.org/.

1. Introduction ; 2. Network awareness in agent-based models ; 3. Collective dynamics of adaptive agents ; 4. Agent-based models of social networks ; 5. Agent-based diffusion dynamics ; 6. Agent-based cascade dynamics ; 7. Agent-based influence dynamics ; 8. Economic and social networks in reality ; 9. Agent-based modeling of networking risks ; 10. Agent-based modeling of economic crises