By Yusuke Goto, Shingo Takahashi (auth.), Tadahiko Murata, Takao Terano, Shingo Takahashi (eds.)
Agent-based modeling/simulation is an emergent method of the research of social and monetary platforms. It offers a bottom-up experimental option to be utilized to social sciences akin to economics, administration, sociology, and politics in addition to a few engineering fields facing social actions. This booklet contains chosen papers offered on the 7th overseas Workshop on Agent-Based ways in monetary and Social complicated platforms held in Osaka, Japan, in 2012.
At the workshop, 24 reviewed complete papers have been offered, and of these, 17 have been chosen to be integrated during this quantity. The papers are divided into teams as "Fundamentals of Agent-Based Modeling" and "Applications of Agent-Based Modeling".
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Additional info for Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of The AESCS International Workshop 2012
Example text
5 Flow of the Model First, all the members process stages 1 and 2. Then stage 3 is processed. These stages constitute one step: Stage 1 Judgment of imitation Members who selected social learning at the previous step compare the degree of current satisfaction to that of the previous one. If the current one is worse off, she employs the former behavior Xik−1 . Stage 2 Learning Members choose one learning method and learn. Stage 3 Reward distribution The organization distributes rewards to its members according to the organizational utilities the members produce and the reward system.
The divorce event occurs in the household in which the husband and wife live. Moreover, which spouse has the parental authority of the dependent child(ren) must be taken into consideration. The following three statistical data are used as constraint conditions from “Statistics about Divorce” from the Vital Statistics Special Report of the Ministry of Health, Labour and Welfare [8]. Constraint 1: A husband’s divorce rate according to age group Constraint 2: A wife’s divorce rate according to age group 54 S.
3 Simulation and Results The main part of our model is the existence of the experimentation process and the interaction process to share the aspiration level. We expect that the model can improve the knowledge level of an organization at equilibrium. We conducted two scenarios in the simulation. The first scenario is the organization as a closed system. In this setting, there are no environmental turbulence and turnover. The second scenario is the organization as an open system. Environmental turbulence and turnover are allowed in this setting.