By T. Terano, H. Kita, H. Deguchi, K. Kijima
The chapters of this e-book are the chosen papers from these offered on the 3rd overseas Workshop on Agent-Based methods in monetary and Social advanced platforms held in Tokyo, Japan in 2005. Articles disguise methodological concerns, computational model/software, mixture with gaming simulation, and real-world functions to monetary, management/organizational and social matters.
Read or Download Agent-Based Approaches in Economic and Social Complex Systems IV: Post Proceedings of The AESCS International Workshop 2005 (Springer Series on Agent Based Social Systems) PDF
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Additional resources for Agent-Based Approaches in Economic and Social Complex Systems IV: Post Proceedings of The AESCS International Workshop 2005 (Springer Series on Agent Based Social Systems)
We use the results of simulations for the last 20 periods and the same indicator as Kirman et al. (2005) in order to compare the data. Given the huge number of parameters, we fix some parameters and test the sensitivity of the model to alternatives as in the following three cases. When we know the empirical value of a parameter, we give it to the parameter (Ns and Nb, ri"). When we do not have the values but can find in the earlier research, we take standard values commonly used in the literature to match usual choices (a, P, 5).
Joumal of Economic Dynamics and Control Muthoo A (1999) Bargaining Theory with applications Cambridge and New York: Cambridge University Press. Myerson and Sattertwaite (1983) Efficient Mechanisms for bilateral trading. Joumal of economic Theory 265-281 Osbome M. J, Rubinstein A (1990) Bargaining and Markets. Academic Press, San Diego, CA. Osbome M. J, Rubinstein A (1994) Bargaining and Markets. The MIT Press, Cambridge,MA. Rouchier J. (2004), Interactions routines and selfish behaviours in an artificial market, WEHIA 2004, Kyoto.
Given the lack of space, we indicate only the values that give the lead to the most consistent results. 1 and, without other specifications the initial limit values are 4 for the sellers and 5 for the buyers. With the "homogeneous values simulations" we note that the initial sellers' reservation values have no impact in the long-run and, hence, neither has the difference of knowledge between buyers and sellers. All simulations produce results similar to the empirical data concerning: the sellers' bargaining power index (fig.