| Co-Investigator(Kenkyū-buntansha) |
EGASHIRA Susumu Otaru Univsrsity Of Commerce, Faculty Of Commerce, Professor (80292077)
HASHIMOTO Takashi Japan Advanced Institute Of Science And Technology, School Of Knowledge Science, Associate Professor (90313709)
AKIYAMA Eizo Tsukuba University, Graduate School Of Systems And Information Engineering, Associate Professor (40317300)
KOYAMA Yuhsuke Tokyo Institute Of Technology, Interdisciplinary Graduate School Of Scienre And Engineering, Assistant Professor (80345371)
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| Budget Amount *help |
¥4,120,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥420,000)
Fiscal Year 2007: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2006: ¥2,300,000 (Direct Cost: ¥2,300,000)
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| Research Abstract |
Long-tails often are observed in various aspects of the present society and economy. If we should try to capture such a social phenomenon in the theory of social dynamics, we should focus on heterogeneous agents and a set of agents with various cognitive frameworks. In the cognitive filed, each agent may have a scope of revising his and/or the socio rules. We thus are interested in the agents having internal dynamics. In our context, we have the four parts of our present research. Part I : Evolutionary Economics with Heterogeneous Interacting Agents(See Y.Aruka, S. Egashiara, Y. Koyama's articles) ; Part II : Artificial Intelligent Market with Heterogeneous Interacting Agents(See Y.Aruka, S. Hashimoto's articles) ; Part III : Evolutionary Games and Their Memory Formations(See E. Akiyama's articles) ; Part N : The Information Communication Structure in the Agent -Based Modelling with Cognitive Frameworks(See T. Hashimoto, S. Egashira's articles).
In Part I, we argued that it did not hold
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the consistency of economic rationalities in view of moral science and complex system, and a new moral code will urgently be needed in view of heterogeneous interacting agents, and such analysis could be reinforced by the historical approach of evolutionary economics. While a so-called multi-agent based simulation, by itself, does not necessarily achieve its own definite result in the theory of social dynamics. In Part II, the theory of market is argued by means of U-Mart System(=AI-Simulator). A serial trade of the market exchange can be analyzed in terms of multi-nomial logit model. Moreover, any trade will be much influenced by the set institutional settings of the market exchange. In Part III, we argue "dynamical systems game" in which players are described as dynamical systems that autonomously adjust their strategy parameters though mutual interactions. In this settings, we argued some evolutionary processes of reciprocity among players. In Part IV, we regard individuals in a society as cognitive agents having internal dynamics. In this circumstance, we developed the theory of social dynamics, and suggested a new approach for Heterogeneous Interactions, Agents Recognitions, And Socio-Dynamic Order Formation Less
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