Agent-Based Approaches in Economic and Social Complex by Yusuke Goto, Shingo Takahashi (auth.), Tadahiko Murata,

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 financial platforms. It offers a bottom-up experimental strategy to be utilized to social sciences resembling economics, administration, sociology, and politics in addition to a few engineering fields facing social actions. This publication contains chosen papers offered on the 7th overseas Workshop on Agent-Based methods in financial and Social complicated platforms held in Osaka, Japan, in 2012.

At the workshop, 24 reviewed complete papers have been awarded, 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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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 financial platforms. It offers a bottom-up experimental strategy to be utilized to social sciences resembling economics, administration, sociology, and politics in addition to a few engineering fields facing social actions. This publication contains chosen papers offered on the 7th overseas Workshop on Agent-Based methods in financial and Social complicated platforms held in Osaka, Japan, in 2012.

At the workshop, 24 reviewed complete papers have been awarded, 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".

Show description

Read or Download Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of The AESCS International Workshop 2012 PDF

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In Fig. 5, we can see that the proposed model is more robust than March’s model in an open system. The individuals in the organization can adjust their experimentation and learning processes by their aspiration level and the organization’s aspiration level. This is also shown in Figs. 6 and 7. , the optimal value. Aspiration-Based Learning to Balance Exploration and Exploitation. . 29 Average Knowledge Level 35 30 25 20 Individual 15 Organization 10 5 0 0 200 400 600 Iteration 800 1000 Fig. 6 Dynamics of average aspiration level in an open system Fig.

We represent heterogeneity in an organization using this function; namely, the dependencies and the evaluation values are assigned arbitrarily. In addition, we define x as the level of diversity of the organization. In the organization whose diversity level is x, x of all agents have different personal utility functions, and 1 − x of all agents have the same personal utility function. Hence, if x = 0, then all agents have the same elements of fitness in personal utility function. On the other hand, if x = 1, then all agents have a different personal utility function.

Marriage occurs between a single male agent whose age is at least 18 and a female agent whose age is at least 16, in accordance with Japanese law on marriage. The following constraints 1 and 2 are to meet the male non-spouse marriage rates and the female non-spouse marriage rates in the Special Report on Vital Statistics (1995) by Ministry of Health, Labour and Welfare exhibits, respectively, and constraint 3 is to meet the statistics about marriage from the Vital Statistics [7]. 2 Performance Function The performance function used in a marriage event is designed like the performance function used when making the initial population.

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