Download Agent-Based Approaches in Economic and Social Complex by Yuhsuke Koyama, Ko Ishiyama, Hiroyuki Kaneko, Isao Ono, PDF

By Yuhsuke Koyama, Ko Ishiyama, Hiroyuki Kaneko, Isao Ono, Hiroyuki Matsui (auth.), Takao Terano Ph.D., Hajime Kita Dr. Eng., Hiroshi Deguchi Ph.D., Kyoichi Kijima Dr. Eng. (eds.)

Agent-Based Modeling/Simulation (ABM/ABS) is an rising box that allows bottom-up and experimental research in social sciences resembling economics, administration, sociology and politics. The chapters of this publication are the chosen papers from these awarded the 3rd overseas Workshop on Agent-Based ways in financial and Social advanced platforms held in Tokyo, Japan in 2005. Articles during this ebook covers methodological concerns, computational model/software, blend with gaming simulation, and real-world functions to monetary, management/organizational and social issues.

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Blume L, Easley D (1992) Evolution and Market Behavior. Journal of Economic Theory 58: 9-40. 48 Market and Policy 2. Blume L, Easley D (2001) If You're So Smart, Why Aren't You Rich? Behef Selection in Complete and Incomplete Markets. Working paper. 3. Bullard J, Duffy J (1999) Using Genetic Algorithms to Model the Evolution of Heterogeneous Beliefs. Computational Economics 13 (1): 41-60. 4. Chen S-H, Huang Y-C (2004) Risk Preference, Forecasting Accuracy and Survival Dynamics: Simulations Based on a Multi-Asset Agent-Based Artificial Stock Market.

In our paper, we find a learning process involving a convergence toward a stable state to which, in turn, we compare to the empirical facts. Our main results are consistent with the empirical market' dynamics: the sellers' negotiating power is always superior to the buyers and tends to decrease. The loyalty of buyers does not influence the transactions prices, and the frequency of each "nature of contact" is similar to the observed ones. Moreover, we observe that even if at the beginning, the sellers' initial beliefs are different they eventually converge.

Strategic Organizational Innovation. Yuhikaku Corp. Tokyo (1996) 35-57 8. : Application of Agent Technology in Business Game Development. The 16th Annual Conference of Japanese Society for Artificial Intelligence (2002) (3F2-01) Market and Policy Sequential bargaining on a perishable goods market: An agents-based Model. S. Moulet and J. Rouchier GREQAM, 2 rue de la Vieille Charite 13226 Marseille cedex 02 Introduction Bilateral Sequential Bargaining has been extensively researched, for instance in game theory (Osborne and Rubinstein 1990, 1994, Muthoo 1999).

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