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 allows bottom-up and experimental research in social sciences comparable to economics, administration, sociology and politics. The chapters of this ebook are the chosen papers from these offered the 3rd overseas Workshop on Agent-Based methods in financial and Social complicated structures held in Tokyo, Japan in 2005. Articles during this e-book covers methodological concerns, computational model/software, mix with gaming simulation, and real-world functions to financial, management/organizational and social issues.

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W^ is the wealth of agent i at time t, which is earned from the dividends paid at time t. Notice that these budget constraints do not allow agents to consume or invest by borrowing. e. ,M. (4) Pm,t Rearranging Equation (4), we obtain the market equilibrium price of asset m: Y^at:fsr-wu I pm,t — (5) 3 The Agent-Based Multi-Asset Artificial Stock Market An agent-based computational version of the Blume-Easley-Sandroni standard multi-asset model is developed in [4]. One of the mainstays of the agent-based computational economics is autonomous agents.

2. Wealth Share Dynamics higher t h e wealth share. For example, the wealth share of the agents with the highest risk aversion coefficient (^ = 5) shows strong growth from 10% in the initial period to 35% in t h e final period. ]) predicts, the log-utility agents {g = 1) do not survive well in this case. Instead, their wealth share keeps on declining toward zero. Agents with lower values of g share the same destiny. They are all dominated by agents with high risk aversion coefficient. 6 Concluding R e m a r k s This study can be possibly related to t h e extensive literature on t h e empirical estimation of the R R A coefficients.

Rank B> This group contains three players who have reaped limited benefits through the two games but will reap sufficient benefits if they continue the learning. This group contains three players who are in no situation to expect higher effects even if they continue this style of teaming. We assume that they may have no aptitude for the learning of decision-making or for the gaming style. Figure 7 shows the characteristic tracking curves that are selected as an example from each of three groups.

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