Agent-Based Simulation: From Modeling Methodologies to by Hideki Tanuma, Hiroshi Deguchi (auth.), Takao Terano Ph.D.,
By Hideki Tanuma, Hiroshi Deguchi (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Toshiyuki Kaneda Dr.Eng., Kiyoshi Arai Dr. Eng., Hiroshi Deguchi Ph.D. (eds.)
Agent-based modeling/simulation is an rising box that makes use of bottom-up and experimental research within the social sciences. chosen learn from that awarded on the 3rd overseas Workshop on Agent-Based techniques in monetary and Social complicated platforms 2004, held in may well 2004 in Kyoto, Japan, is integrated during this booklet. the purpose of the workshop used to be to hire the bottom-up method of social and fiscal difficulties by means of modeling, simulation, and research utilizing a software program agent. This learn quarter is an rising interdisciplinary box one of the social sciences and desktop technology, attracting vast awareness since it introduces a simulation-based experimental method of difficulties which are changing into more and more advanced in an period of globalization and innovation in info expertise. The cutting-edge learn and findings offered during this e-book can be crucial instruments for an individual eager about this speedily starting to be discipline.
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Extra resources for Agent-Based Simulation: From Modeling Methodologies to Real-World Applications: Post-Proceedings of the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems 2004
A numerical optimization technique using a downhill simplex method (Neider and Mead 1965) with simulated annealing (Press et al. 1992) finds a minimum value of the error sum. While models used for this network analysis cannot be guaranteed to be a "best fit," they do fit the data more closely than the millions of other candidate models analyzed by the optimization algorithm. The resulting model has the highest "signal-to-noise" ratio (Berkowitz 1982), and values for p and p in the network model with the lowest sum of chi-squared errors yield insight into the underlying relationship among the NGO workers.
I am indebted to Dr. Joel Levine for this observation. 34 Fig. 3. NGO work allocation. 32. In the end, do the NGOs compete, or do they simply have different target groups? NGO members fall into blockings by organization in Figure 3, corroborating the TeenAIDS staff member's claim that differing target groups give the NGOs distinct identities. Nonetheless, the centrality of the youth category is not surprising because multiple NGOs, unaware of the extent of Caritas's ongoing programs, all sought fiinding for programs directed towards the ATF's lucrative new youth category.
Axtell (2002) Non-cooperative Dynamics of Multi-agent Teams. In Proceedings of The First International Joint Conference on Autonomous Agents and Multiagent Systems, pages 1082-1089 3. L. Tesfatsion (1997) A Trade Network Game with Endogenous Partner Selection. , pages 249-269 4. T. Yamashita and A. Ohuchi (2002) Analysis of Norms Game with Mutual Choice. In Exploring New Frontiers on Artificial Intelligence, pages 174-184. Springer-Verlag Tokyo Evolution of Cooperative Beliavior in C2C market: Effect of Reputation IVIanagement System Hitoshi Yamamoto^ Kazunari Ishida^, and Toshizumi Ohta^ ^ The Graduate School of Information Systems, University of ElectroCommunications, 1-5-1 Choufugaoka, Chouflishi, Tokyo 182-8585, Japan ^Faculty of International Agriculture and Food Studies, Tokyo University of Agriculture, 1-1-1 Sakuragaoka, Setagayaku, Tokyo, 156-0054, Japan Summary.