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Complex Network Theory and Agent-Based Modeling
Takao TERANO 한국경영과학회 2016 한국경영과학회 학술대회논문집 Vol.2016 No.10
In this talk, I will present 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 hubagents) also affects emergence of proto-money.
( Minoru Terano ) 한국화학공학회 2007 화학공학의이론과응용 Vol.10 No.2
Heterogeneous olefin polymerization catalysts including Ziegler-Natta and Phillips catalysts have been playing the most important role in the industrial field. They have achieved the most fantastic success in the world with respect to their great contributions for synthesis of various polyolefin materials. In spite of several decades of research efforts since early 1950s, many aspects concerning the active sites and polymerization mechanism for both catalyst systems still remain ambiguous and controversial. In this work, the deactivation phenomenon of Ziegler-Natta catalysts for propylene polymerization and the induction period of Phillips catalyst for ethylene polymerization were studied to get novel aspects on active sites transformation. Our recent series of studies showed these phenomena are very much informative relating to various mechanistic aspects of both catalysts. Novel mechanisms with respect to the transformation of active sites will be discussed in detail in terms of better understanding of the heterogeneous olefin polymerization catalysis.
Khan Muhammad Badruddin,Takashi Yamada,Takao Terano 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we present the simulation of a new variant of Snakes and Ladders Board Game in which the player is allowed either to avail or avoid the opportunity to jump to top of the ladder, when the roll of die leads to foot of the ladder, for some strategic reasons. The outcome of the change in the game results in emergence of scope for various new strategies for players to acquire besides the conventional “"always-jump”" approach. This paper describes the results of the simulation of the game, when played with four different strategies. The results show that it can be useful for a player on some occasions to avoid the jumping opportunity in order to increase the chance of winning the game.
Toshiaki Taniike,Shougo Takahashi,Toru Wada,Iku Kouzai,Minoru Terano 한국고분자학회 2010 Macromolecular Research Vol.18 No.9
The dispersion state of surface Ti species is one of the most important factors affecting the polymerization properties of MgCl2-supported heterogeneous Ziegler-Natta catalysts. In this paper, ethylene-propylene copolymerization was carried out using a novel Ziegler-Natta model catalyst with “isolated” and “clustered” TiCl3 molecules on MgCl2. At a lower ethylene/propylene feed ratio, the dispersion state of the Ti species strongly affected both the composition and sequence distribution of the copolymers. The “isolated” Ti species gave a relatively random copolymer, and clustering of Ti species enhanced the bulkiness. The addition of an external donor basically deteriorated the random copolymerization character of the “isolated Ti species but the degree of deterioration depended on the type of donors. On the other hand, the balance between the monomer feed and consumption dominated the copolymerization performance at a higher ethylene/propylene feed ratio to obscure the effects of the dispersion state.