By Yuhsuke Koyama, Ko Ishiyama, Hiroyuki Kaneko, Isao Ono, Hiroyuki Matsui (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Hiroshi Deguchi Ph.D., Kyoichi Kijima Dr. Eng. (eds.)
Agent-Based Modeling/Simulation (ABM/ABS) is an rising box that permits bottom-up and experimental research in social sciences resembling economics, administration, sociology and politics. The chapters of this ebook are the chosen papers from these provided the 3rd foreign Workshop on Agent-Based techniques in monetary and Social advanced structures held in Tokyo, Japan in 2005. Articles during this e-book covers methodological matters, computational model/software, mixture with gaming simulation, and real-world purposes to monetary, management/organizational and social issues.
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Additional info for Agent-Based Approaches in Economic and Social Complex Systems IV: Post-Proceedings of The AESCS International Workshop 2005
Third, well-known fundamentahst-chartist models can generate both the daily and the high frequency data [17-19], but this does not imply that the time series properties hinge on the number of fundamentahsts (or chartists). In addition, it seems that few studies have taken into account the empirical fact that the information requisite for speculatros depends on their time scales. Moreover, the recent development of behavioral economics has enabled to offer descriptive models with respect to the behaviors of speculators.
L. The Relationship between Relative Risk Aversion and Survivability 45 Fig. 1. Time Series Plot of the Prices of Assets; M =5. In sum, the high-level GA finds an appropriate belief, and under that belief the low-level GA searches for the best decisions regarding savings and portfolios. This style of adaptive design combines learning how to forecast with learning how to optimize, a distinction made in . These two levels of GA, however, do not repeat themselves with the same frequency. As a matter of fact, the belief-updating scheme is somewhat slow, whereas the numerical optimization scheme is more frequent.
Prentice- Hall, Inc (1984) 4. : From Gaming Simulation to Case Method -Empirical Study on Business Game Development and Evaluation-. Partl). Springer-Verlag, Berlin Heidelberg New York (2004) 472-479 5. : Understanding your Business through Home-Made Simulator Development. Developments in Business Simulation and Experiential Learning, Vol. 26, (1999) 65-71 6. Japan Quality Award Council: Assessment Criteria of the Japan Quality Award 2003. Japan Productivity Center for Socio-Economic Development (JPC-SED) (2003) 7.
Agent-Based Approaches in Economic and Social Complex Systems IV: Post-Proceedings of The AESCS International Workshop 2005 by Yuhsuke Koyama, Ko Ishiyama, Hiroyuki Kaneko, Isao Ono, Hiroyuki Matsui (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Hiroshi Deguchi Ph.D., Kyoichi Kijima Dr. Eng. (eds.)