Self-organization exhibited by a stochastic agent-based model of firms seeking higher desirability in business expressed by the market potential

M. Tabata, A. Ide, N. Eshima, I. Takagi, Y. Takei
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引用次数: 2

Abstract

We consider an agent-based model consisting of a finite number of firms that move stochastically within a discrete bounded domain in order to obtain higher business profits. The desirability in business is expressed by a certain exogenous random variable and a linear integral operator called market potential. If the number of firms is extremely large and the domain is very wide, then it is almost impossible to fully investigate the model by only doing numerical simulations. In order to overcome the difficulty, we employ a deterministic continuous model that is derived from the stochastic agent-based model by taking the scaling limit. By making use of the continuous model thus derived, we can fully observe self-organization exhibited by the original agent-based model.
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企业在市场潜力所表达的业务中寻求更高可取性的随机代理模型所表现的自组织
我们考虑一个基于代理的模型,该模型由有限数量的公司组成,这些公司为了获得更高的商业利润,在一个离散的有界领域内随机移动。商业中的可取性由一个外生随机变量和一个称为市场潜力的线性积分算子来表示。如果企业数量非常大,领域非常广,那么仅通过数值模拟几乎不可能全面研究该模型。为了克服这一困难,我们采用了一种确定性连续模型,该模型是由基于随机代理的模型推导而来的,取尺度极限。利用由此导出的连续模型,我们可以充分观察到原基于智能体的模型所表现出的自组织。
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