期刊文献+

基于前景理论与多Agent模拟的KIBS员工合作与冲突行为研究 被引量:9

Research on KIBS Employees' Cooperate and Conflict Behavior Based on Prospect Theory and Multi-Agent Simulation
原文传递
导出
摘要 随着知识经济时代的到来,知识密集型服务业(KIBS)已经成为西方主要发达国家和地区产业结构调整关注的重点方向和近年来学术界的研究热点之一。文章研究了KIBS员工合作与冲突行为产生机理与演化规律,首先结合了人格心理学、前景理论和博弈论的相关理论,设计了KIBS员工合作与冲突行为决策模型。之后在仿真软件Anylogic 6.5.0上建立了相应的多Agent模拟模型,并针对收益参数和群体沟通这两种影响因素设计了模拟实验。最后对模拟结果进行了分析,发现收益参数中除了惩罚系数,控制因子对最终行为比例也产生影响,而沟通概率则对演化过程行为变化的幅度产生影响。 Along with the globalization of knowledge economy, knowledge-intensive business service(KIBS) has become the focus of industrial restructuring in the major western developed countries and regions as well as a hot topic in management research recently. This paper investigates the generating mechanism and evolutionary law of KIBS employees' cooperate and conflict behavior. A behavior model of KIBS employ- ees' cooperate and conflict is proposed in accordance with theories of personality psychology, prospect theory and game theory. Then Anylogic 6.5.0 is used to implement this multi-Agent simulation model. Parameters of income and group communication are analyzed in the later simulation experiment. The result shows that they affect the cooperate and conflict behavior of KIBS employees in different ways.
作者 付玓瓅 胡斌
出处 《中国管理科学》 CSSCI 北大核心 2013年第3期159-168,共10页 Chinese Journal of Management Science
基金 国家自然科学基金资助项目(71071065)
关键词 知识密集型服务业 合作与冲突 多agent模拟 ANYLOGIC 行为运作 Knowledge-Intensive Business Service (KIBS) cooperate and conflict multi-agent simulation anylogic behavioral operations
  • 相关文献

参考文献22

  • 1Miles I. Services and the knowledge-based economy: Not so peculiar after all? [R]. Discussion Paper, The Seventh International Forum for Technology Manage- ment, Kyoto, Japan,1997.
  • 2陈旭鸣.我国知识密集型服务企业员工合作与冲突行为动因实证研究[J].软科学,2008,22(11):140-144. 被引量:2
  • 3Carley K M. Computational organization theory[M]. Cambridge: MIT Press, 1999.
  • 4Rosensehein J S, Genesereth M R. Communication and cooperation among logic-based agents [C]. Proceedings of Computer Communication, 1987 : 594- 600.
  • 5Smith R G, Davis R. Frameworks for cooperation in distributed problem solving[J]. IEEE Transaction on Systems, Man and Cybernetics, 1981,11 ( 1 ) : 61 - 70.
  • 6Jennings N R. Controlling cooperative problem solving in industrial multi-agent systems using joint intentions [J]. Artificial Intelligence, 1995,75 (2) : 195 - 240.
  • 7Crosz B F, Kraus S. Collaborative plans for complex group action[J]. Artificial Intelligence, 1996,86 ( 2 ) : 269 -357.
  • 8肖正,何青松,张世永.混合多Agent环境下动态策略强化学习算法[J].小型微型计算机系统,2009,30(7):1268-1273. 被引量:1
  • 9Axelrod R. The complexity of cooperation: Agent-based models of competition and collaboration[M]. Princeton: Princeton University Press, 1997.
  • 10Simon H A. A behavioral model of rational choice[J]. Quarterly Journal of Economics, 1955, 69 (1) : 99 - 118.

二级参考文献98

共引文献167

同被引文献78

  • 1文平.损失厌恶的报童-预期理论下的报童问题新解[J].中国管理科学,2005,13(6):64-68. 被引量:52
  • 2邢圣飞.基于AgentN在线逆向拍卖自动协商模型研究[D].燕山大学,2010:12-13.
  • 3Amos Tversky,Daniel Kahneman.Advances in prospect theory: Cumulative representation of uncertainty[J]Journal of Risk and Uncertainty,1992(4).
  • 4Elaine M. Liu,JiKun Huang.Risk preferences and pesticide use by cotton farmers in China[J]Journal of Development Economics,2013.
  • 5Carsten Erner,Alexander Klos,Thomas Langer.Can prospect theory be used to predict an investor’s willingness to pay?[J]Journal of Banking and Finance,2013(6).
  • 6Gy?rgy Szabó,Attila Szolnoki.Selfishness, fraternity, and other-regarding preference in spatial evolutionary games[J]Journal of Theoretical Biology,2011.
  • 7Christian Schade,Andreas Schroeder,Kai Oliver Krause.Coordination after gains and losses: Is prospect theory’s value function predictive for games?[J]Journal of Mathematical Psychology,2010(5).
  • 8Bram Driesen,Andrés Perea,Hans Peters.On Loss Aversion in Bimatrix Games[J]Theory and Decision,2010(4).
  • 9Jack S. Levy.Applications of Prospect Theory to Political Science[J]Synthese,2003(2).
  • 10Haim Levy,Moshe Levy.Experimental test of the prospect theory value function: A stochastic dominance approach[J]Organizational Behavior and Human Decision Processes,2002(2).

引证文献9

二级引证文献38

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部