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How much can Buffett influence the stock market? — A research of ACF

机译：巴菲特能对股市产生多大影响？ — ACF研究

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摘要

Traditional classifier system is considered as a multi-population GAs architecture which represents individual learning. In real world, people learn not only from individual experience but also from others. By introducing a concept called ‘social learning bonus’ an extended classifier system which mixed individual learning and social learning is implemented in an artificial stock market. The results suggested social learning leads to different market statistic property around a threshold, and a state like HREE may be realized endogenously.
机译：传统的分类器系统被认为是代表个人学习的多种群GA体系结构。在现实世界中，人们不仅可以从个人经验中学习，而且还可以从其他人那里学习。通过引入称为“社会学习奖励”的概念，在人工股票市场中实现了将个人学习和社会学习混合在一起的扩展分类系统。结果表明，社会学习导致阈值附近的市场统计属性不同，并且像HREE这样的状态可能是内生的。

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