Agent-Based Approaches in Economic and Social Complex by Yuhsuke Koyama, Ko Ishiyama, Hiroyuki Kaneko, Isao Ono,

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 similar to economics, administration, sociology and politics. The chapters of this e-book are the chosen papers from these awarded the 3rd overseas Workshop on Agent-Based methods in monetary and Social advanced platforms held in Tokyo, Japan in 2005. Articles during this booklet covers methodological matters, computational model/software, mixture with gaming simulation, and real-world functions 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

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One of the benefits of Business Gaming method is that it provides quantitative values as the results of games. We have evaluated its learning effects based on the comparisons of those quantitative values. The result of the analysis has demonstrated the usefulness of the evaluation method. The result of the experiment reported in this paper suggests many challenges to be carried over for our future work. However, we have made significant progress by indicating the availability of integrating Case Study and Business Gaming.

As a matter of fact, the belief-updating scheme is somewhat slow, whereas the numerical optimization scheme is more frequent. Intuitively, changing our belief in the met a-level of the world tends to be slower and less frequent than just finetuning or updating some parameters associated with a given structure. In this sense, the idea of incremental learning is also applied to our design of autonomous agents. 0. In each single run, we generate a series of artificial data. ,I. ,M. Figure 1 displays the time series plot of prices in a five-asset market.

Variation of the sellers' negotiation power for all simulations: Different plots correspond to different simulations. X-axis represents the parts of the day. 35 0 0 : only offer without transaction, OC: counter offer but without transaction, TNB: transaction but no bargaining and TWB: transaction with bargaining In the "heterogeneous values simulation" the initial reservation values of sellers do not affect the long run aggregate state of the market. The simulation displays common features with the empirical data: 1) the succession patterns of the different natures of meetings are reproduced; 2) the ctiange between tfie first and the Sequential bargaining on a perishable goods market: An agents-based Model.

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