情绪影响下群体性冲突的RDEU博弈模型分析

doi:10.16381/j.cnki.issn1003-207x.2015.09.020

中国管理科学 ›› 2015, Vol. 23 ›› Issue (9): 162-170.doi: 10.16381/j.cnki.issn1003-207x.2015.09.020

情绪影响下群体性冲突的RDEU博弈模型分析

熊国强, 张婷, 王海涛

西安理工大学经济与管理学院, 陕西西安 710054

收稿日期:2013-10-26 修回日期:2014-03-20 出版日期:2015-09-20 发布日期:2015-09-28
作者简介:熊国强(1961-),男(汉族),陕西西安人,西安理工大学经济与管理学院教授,博士,研究方向:应急管理、投资管理.
基金资助:
国家自然科学基金资助项目(71173171),陕西省高校哲学社会科学特色学科基金资助项目(14JZ030)

Closed-loop Supply Chain with Contract-recycling System

XIONG Guo-qiang, ZHANG Ting, WANG Hai-tao

School of Business Administration, Xi'an University of Technology, Xi'an 710054, China

Received:2013-10-26 Revised:2014-03-20 Online:2015-09-20 Published:2015-09-28

摘要/Abstract

摘要： 考虑到情绪因素对参与者行为的影响,基于等级依赖期望效用理论框架构建了群体性冲突的RDEU博弈模型,讨论了不同情绪状态下的博弈纳什均衡的存在性,分析了情绪因素对参与者选择混合策略的行为机理。研究发现:情绪因素对群体性冲突的博弈均衡有着显著的影响,当博弈参与者具有“悲观”情绪时,倾向于"对抗"性的行为,当参与者具有“乐观”情绪时,易于做出“让步”性的行为。在情绪的驱动下,参与者还会受到对方采取某个策略的判断的影响,如当弱势群体认为对手采取“压制”策略的概率低于某个分界点时,随着乐观情绪指数的增大,其选择“对抗”策略的概率将随之增大。最后,以房屋拆迁群体性冲突为例,数值分析了博弈模型的结论。

关键词: 群体性冲突, RDEU博弈模型, 情绪函数, 纳什均衡

Abstract: Considering the emotion impact on the behavior of players in Game Theory, the RDEU Game model of group conflict was built, involving the rank-dependent utility theory. Moreover, the existence of Nash Equilibrium under different emotional states was and disecused the behavioral mechanism of players' mixed strategy choice influenced by emotion was analyzed in this paper. The findings demonstrate that emotion has significant impact on Game Equilibrium of group conflict. When the player has a “pessimistic” emotion, he or she tends to choose the behavior of resisting. Similarly, the player tends to submit to the other player when he or she holds the emotion of optimist. It was also found that players could be influenced by a certain judgment made by the other player, who was driven by emotion when selecting strategies. For example, when vulnerable groups think that if the probability of the opponents' adopting a repressed strategy is below a certain cut-off point, the probability of their choosing resisting strategy will increase, with the optimism index of emotion generating higher levels, At last, the conclusions were analyzed numerically, taking an example of house dismantlement conflict.

Key words: group conflicts, RDEU game model, emotional function, nash equilibrium

中图分类号:

C931

熊国强, 张婷, 王海涛. 情绪影响下群体性冲突的RDEU博弈模型分析[J]. 中国管理科学, 2015, 23(9): 162-170.

XIONG Guo-qiang, ZHANG Ting, WANG Hai-tao. Closed-loop Supply Chain with Contract-recycling System[J]. Chinese Journal of Management Science, 2015, 23(9): 162-170.

参考文献

[1] 于建嵘.当前我国群体性事件的主要类型及其基本特征[J].中国政法大学学报,2009, (6):114-120.

[2] Kerstena A,Sidky M.Realigning rationali-ty: Crisis management and prisoner abuse in iraq[J]. Public Relations Review, 2005, 31 (4): 471-478.

[3] Jonathan H W Tan, Zizzo D J. Groups, cooperation and conflict in games[J]. The Journal of Socio-Economics, 2008, 37(1):1-17.

[4] Kesten C, Green. Game theory, simulated interaction, and unaided judgment for forecasting decision in conflicts: Further evidence[J].International Journal of Forecasting, 2005,21(3):463-472.

[5] Milch K F, Weber E U, Appelt K C. From individual preference construction to group decisions: Framing effects and group processes[J]. Organizational Behavior and Human Decision Processes, 2009, 108(2):242-255.

[6] Kesten C, Green. Forecasting decisions in conflict situations: Acomparison of game theory, roleplaying, and unaided judgement[J]. International Journal of Forecasting, 2002, 18(3):321-344.

[7] 徐寅峰,刘德海.群体性突发事件产生根源的主观博弈分析[J].预测, 2004, 23(6) :43-45.

[8] 池宏,祁明亮,计雷,等.城市突发公共事件应急管理体系研究[J].应急救援,2005, (3):21-32.

[9] 唐代中,马卫锋.基于演化博弈的城市拆迁补偿机制研究[J].财贸研究, 2007, 18(6):25-65.

[10] Suzuki Y, Iwasa Y. Conflict between groups of players in coupled socio-economic and ecological dynamics[J].Ecological Economics,2009,68(4):1106-1115.

[11] Kerachian R, Fallahnia M, Bazargan-Lari M R, et al. A fuzzy game theoretic approach for ground water resources management: Application of rubinstein bargaining theory[J]. Resources, Conservation and Recycling, 2010, 54(10):673-682.

[12] Sueyoshi T.An agent-based approach equipped with game theory: Strategic collaboration among learning agents during a dynamic market change in the california electricity crisis [J]. Energy Economics, 2010, 32(5):1009-1024.

[13] 孙康,廖貅武.群体性突发事件的演化博弈分析—以辽东湾海蜇捕捞为例[J].系统工程, 2006, 24(11):59-62.

[14] 盛济川,施国庆,尚凯.水电移民群体性突发事件的演化博弈分析[J].统计与决策, 2009, (13):60-61.

[15] Madani K. Game theory and water resources[J].Journal of Hydrology, 2010, 381(3-4):225-238.

[16] 刘德海. 群体性突发事件中政府机会主义行为的演化博弈分析[J].中国管理科学, 2010, 18(1):175-183.

[17] 刘德海.群体性突发事件中政府机会主义行为的演化博弈分析[J].中国管理科学,2010,18 (1):175-182.

[18] 肖人彬, 张耀峰. 网络群体事件信息传播的演化博弈分析[J]. 复杂系统与复杂性科学, 2012, 9(1):1-7.

[19] 谢识予. 有限理性条件下的进化博弈理论[J]. 上海财经大学学报,2001,3(5):3-9.

[20] 冯.诺伊曼, 摩根斯顿. 博弈论与经济行为[M]. 上海: 三联书店, 2004.

[21] Machina M J. Choice under uncertainty: problems solved and unsolved[J]. Journal of Economic Perspectives, 1987, 1(1): 121-154.

[22] Quiggin J. A theory of anticipated utility[J]. Journal of Economic Behavi or and Organization,1982,3(4):323-343.

[23] Yarri M. The dual theory of choice under risk[J]. Econometrica, 1987,55(1): 95-115.

[24] Schmeidler D. Subjective probability and expected utility without additivity [J]. Econometrica, 1989, 57(3): 571-587.

[25] 熊国强.基于RDEU理论的n人非期望效用博弈模型及其应用[J].系统工程,2008, 26(6):120-123.

[26] 龚日朝.基于秩依期望效用理论的鹰鸽博弈均衡解分析[J].管理科学学报,2012,(09);35-45.

[27] Starmer C. Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk[J]. Journal of Economic Literature, 2000, 38(2):332-382.

[28] Quiggin J. Comparative statics for rank dependent expected utility theory[J]. Journal of Risk and Uncertainty, 1991, 4(4):339-350.

[29] Diecidue E, Wakker P P. On the intuition of rank-dependent utility[J].The journal of Risk and Uncertainty, 2001,23(3): 281-298.

情绪影响下群体性冲突的RDEU博弈模型分析

Closed-loop Supply Chain with Contract-recycling System

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