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Extra info for Agent-Based Approaches in Economic and Social Complex Systems IV: Post-Proceedings of The AESCS International Workshop 2005
This data set and more precisely the statistic analysis made by Kirman and al. (2005) is used as a benchmark in our paper. Their paper is the main reference for our analysis. Thus, the reader is invited to refer to it. Assumptions and Model We consider a finite population of N^ sellers and Nb buyers with a bilateral relationship focused on the price of a single and perishable good available in limited quantity. We repeat 100 times the same scenario: Before the market opens, sellers buy their supply at an exogenous price which becomes their limit value denoted S\.
In this example, the decision-making processes that the player has reached in the second game are lower or slower than the first game. The player has not been able to reproduce the result of the first game on the second game because the performance in the first game had been achieved without sufficient understanding of the game. We assume that the player was still in the process of learning by trial and error. Effectiveness of Individual Learning Tool. In this section, we evaluate the effectiveness of preliminary learning on the individual learning tool based on the result of experimental games.
Partl). Springer-Verlag, Berlin Heidelberg New York (2004) 472-479 5. : Understanding your Business through Home-Made Simulator Development. Developments in Business Simulation and Experiential Learning, Vol. 26, (1999) 65-71 6. Japan Quality Award Council: Assessment Criteria of the Japan Quality Award 2003. Japan Productivity Center for Socio-Economic Development (JPC-SED) (2003) 7. : Strategic Organizational Innovation. Yuhikaku Corp. Tokyo (1996) 35-57 8. : Application of Agent Technology in Business Game Development.
Agent-Based Approaches in Economic and Social Complex Systems IV: Post-Proceedings of The AESCS International Workshop 2005 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.)