Global Optimization of Minority Game by Smart Agents

dc.creatorXie, Yan-Bo
dc.creatorWang, Bing-Hong
dc.creatorHu, Chin-Kun
dc.creatorZhou, Tao
dc.date2004-06-15
dc.date2004-06-24
dc.date.accessioned2026-07-07T12:06:58Z
dc.date.available2026-07-07T12:06:58Z
dc.descriptionWe propose a new model of minority game with so-called smart agents such that the standard deviation and the total loss in this model reach the theoretical minimum values in the limit of long time. The smart agents use trail and error method to make a choice but bring global optimization to the system, which suggests that the economic systems may have the ability to self-organize into a highly optimized state by agents who are forced to make decisions based on inductive thinking for their limited knowledge and capabilities. When other kinds of agents are also present, the experimental results and analyses show that the smart agent can gain profits from producers and are much more competent than the noise traders and conventional agents in original minority game.
dc.description5 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0406326
dc.identifierhttp://arxiv.org/abs/cond-mat/0406326
dc.identifierEur. Phys. J. B 47, 587-593 (2005)
dc.identifierdoi:10.1140/epjb/e2005-00350-9
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208812
dc.subjectStatistical Mechanics
dc.subjectTrading and Market Microstructure
dc.titleGlobal Optimization of Minority Game by Smart Agents
dc.typetext

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