Using genetic programming, this paper proposes an agent-based computational modeling of double auction (DA) markets in the sense that a DA market is modeled as an evolving market of autonomous interacting traders (automated software agents). The specific DA market on which our modeling is based is the Santa Fe DA market ([12], [13]), which in structure, is a discrete-time version of the Arizona continuous-time experimental DA market ([14], [15]).
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机译:本文采用遗传编程,提出了一种基于代理的双拍卖(DA)市场的计算建模,即DA市场被建模为自主互动交易商(自动软件代理)的不断发展市场。我们建模的特定DA市场是Santa Fe DA市场([12],[13]),其在结构中是亚利桑那州连续时间实验DA市场的离散时间版本([14], [15])。
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