A Doubly Structural Network Model: Bifurcation Analysis on the Emergence of Money
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概要
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This paper presents a new model of micro-macro social learning model for a classical Economic problem “the emergence of money”. We propose Doubly Structural Network (DSN) Model, which consists of one global social network of agents and internal networks that represent agents recognition. DSN model enables us to describe the emergence of proto-money as a self-organization process of the common recognition of exchangeability. We conduct an analytical method and a numerical approach into bifurcation phenomena of a new mean-field dynamics derived from this DSN Model. The main contribution of the paper is summarized as follows. (1) The proto-money can emerge from commodities without distinctive properties. (2) The social network degree is a definitive factor for non-/single-/multiple-emergence of proto-money. (3) The variance of the social network degree (existence of hub-agents) also affects emergence of proto-money.
著者
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TERANO Takao
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
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Terano Takao
Department Of Computational Intelligence And Systems Science Tokyo Institute Of Technology
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Yamada Takashi
Department Of Animal Science Graduate School Of Agricultural Science Kobe University
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Kobayashi Masato
Department Of Bioengineering Tokyo Institute Of Technology
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Kunigami Masaaki
Joint Staff College, Ministry of Defense, Japan
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Yamadera Satoru
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
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Kobayashi Masato
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
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