拥有超过1亿个代理的大规模社会模拟

T. Murata, Takuya Harada
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引用次数: 2

摘要

在这项研究中,我们提出了一种编码方法,用于在少数群体游戏等社交模拟中启用大量代理。少数博弈是指当参与者(或代理人)选择一个参与者人数较少的群体时获胜的博弈。使用我们的编码方法,我们成功地实现了超过1亿个代理的小众博弈。从我们的模拟结果中,我们观察到一个周期,该周期根据每个代理的内存大小而变化,而较小数量的代理无法观察到这一点。我们展示了一些模拟结果来显示这些周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large Scale Social Simulation with more Than a Hundred Million Agents
In this study, we propose a coding method for enabling a huge number of agents in a social simulation such as minority game. The minority game is a game when participants (or agents) win when they select a group with a smaller number of participants. Using our coding method, we successfully implements the minority game with more than a hundred million agents. From our simulation results, we observed a cycle that varies according to the size of memory of each agent that can not be observed with a smaller number of agents. We show some simulation results showing those cycles.
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