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

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 presents a bottom-up experimental technique to be utilized to social sciences reminiscent of economics, administration, sociology, and politics in addition to a few engineering fields facing social actions. This ebook comprises chosen papers awarded on the 7th foreign Workshop on Agent-Based techniques in fiscal and Social advanced structures 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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Extra info for Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of The AESCS International Workshop 2012

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Finally, the member agents calculate the degree of satisfaction from their personal utilities and a given reward, and update their strategies to have higher utilities and rewards. 34 S. Takahashi et al. Fig. 1 Objects A member agent Ai (i = 1, . . , n) has four objects to do her decision making and learn: behavior Xik , personal utility function Uindi (·), organizational function Uorg(·), and satisfaction function S(Uindi (·), Rei ), where k is the learning step and Rei stands for her reward given by the organization.

In each time step in which the code differs on any particular dimension from the belief of an individual, the individual’s belief changes to that of the code. In March’s model, he uses a parameter in terms of probability that reflects the effectiveness 24 M. Siallagan et al. Fig. , learning from the code (p1 ). In this research, we use the probability of learning from the code of individuals to determine the effectiveness of socialization. 7 Updating the Aspiration Level At the end of each time step, the individuals interact with each other to share their aspiration level.

Since she knows how change in her behavior will affect the performance of her organization to a certain extent, she updates her behavior little by little. Social learning, on the other hand, is that a member may imitate behaviors of others who worked well so that she will be able to earn more rewards. But if the imitated behavior does not fit well, she will give up trying this. The information a member agent uses is the evaluation values of personal and organizational utility functions, and the behavior and reward of her neighborhood when she learns.

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