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 fiscal structures. It offers a bottom-up experimental strategy to be utilized to social sciences similar to economics, administration, sociology, and politics in addition to a few engineering fields facing social actions. This e-book comprises chosen papers awarded on the 7th overseas Workshop on Agent-Based ways in monetary and Social advanced structures held in Osaka, Japan, in 2012.
At the workshop, 24 reviewed complete papers have been provided, 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".
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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Extra info for Agent-Based Approaches in Economic and Social Complex Systems VII: Post-Proceedings of The AESCS International Workshop 2012
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. Behavior object Xik represents how she will deal with a problem given by her organization. Here we express this object as an array whose length is N . Each element takes a nonnegative integer up to M and is a nominal measure.
5. According to the proposed model, not only does the newcomer have a new set 28 M. Siallagan et al. Fig. 4 Dynamics of average probability in a closed system Fig. 5 Average knowledge in an open system of beliefs, but the newcomer’s variables are also reset, that is, the aspiration level, probability of experimentation, stimulus, average of stimulus, and strength of reinforcement. 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.
There is a total of 39 members. As in Fig. 2, a member at an upper level has three members at a lower one, but the three members at the top level are connected to each other. 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 .