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间谍经纪人的最优侦查规模和决策阈值

  • 杨伟松 ,
  • 杨伟松
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  • 江西科技师范大学通信与电子学院,南昌 330013
杨伟松(1977-), 男, 江西南昌人,讲师,主要研究方向为经济物理、复杂性科学。

收稿日期: 2015-09-23

  网络出版日期: 2025-02-25

The Best Investigation Scope and Decision Threshold of Spy Brokers

  • YANG Weisong ,
  • YANG Weisong
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  • Jiang Xi Normal University of Science and Technology, Communication and electronic, Nanchang, 330013, China

Received date: 2015-09-23

  Online published: 2025-02-25

摘要

为了考察争当少数者博弈模型中引入间谍经纪人后,间谍的侦查规模和决策阈值分布情况,考察了在不同比例间谍数目的情况下,间谍采取优胜劣汰的原则调整更换他们的侦查规模或决策阈值,发现当间谍数目较少时,间谍侦查规模取大数的数目比例居多;而当间谍数目较多时,间谍侦查规模取小数的比例居多。当侦查规模较小时,间谍倾向于取一半的决策阈值;而当侦查规模较大时,不同间谍的决策阈值分布比较广泛。

本文引用格式

杨伟松 , 杨伟松 . 间谍经纪人的最优侦查规模和决策阈值[J]. 复杂系统与复杂性科学, 2016 , 13(1) : 107 -110 . DOI: 10.13306/j.1672-3813.2016.01.012

Abstract

In order to investigate the distribution pattern of investigation scope and decision threshold of spies when introduce spy agents into the minority game model, we investigate different situations with different spy number proportions. Spies take the principle "win stay, lose move" to adapt their investigation scope or decision threshold. It was found that when spy number is small, the proportion of large investigation scope is in the majority; yet when spy number is large, the proportion of small investigation scope is in the majority. When investigation scope is small, spy prefer to adopt half decision threshold; yet when investigation scope is large, the distribution scope of decision threshold of different spies is widespread.

参考文献

[1] Challet D, Zhang Y C. Emergence of cooperation and organization in an evolutionary game[J].Physica A, 1997, 246(3/4): 407-418.
[2] Challet D, Zhang Y C. On the minority game: analytical and numerical studies[J].Physica A, 1998, 256: 514-532.
[3] Yang W S, Wang B H, He P, et al, Sub-strategy updating evolution in minority game[J].Chin Phys, 2003, 12: 931-935.
[4] Yang W S, Wang B H, Quan H J, et al. Strategy uniform crossover adaptation evolution in a minority game[J].Chin Phys Lett, 2003, 20: 1659-1661.
[5] Yang W S, Wang B H, Wu Y L, et al. Searching good strategies in evolutionary minority game using variable length genetic algorithm[J].Physica A, 2004, 339: 583-590.
[6] Yang W S, Li P,Zou S S, et al. Local minority game with evolutionary strategies[J].China Phys Lett, 2006, 23: 1961-1964.
[7] Yu Y Y, Xu C, Gu G Q, et al. Spies in the minority game[J].Phys Rev E, 2008, 77(1): 011106.
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