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群体态度转变的非线性动力学研究方法 被引量:2

The Research Method of Nonlinear Dynamics for Collective Attitude Changing
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摘要 将非线性动力学的模型运用于群体态度转变的研究,探讨如何从方法上解决将哈肯等人提出的理论模型应用于实际的问题。采用参数估计得到转移概率、偏好参数和顺从参数的计算方法。通过对模型中参数的判断,可以得到群体态度的演化情况,确定群体的态度是处于稳定状态,还是处于变化的临界点。利用该模型可以动态地把握群体心理的演化趋势尤其是对群体心理发生突变的可能性作出预测。 This paper discusses the application of nonlinear dynamics model which originally was put forward by H. Haken to the topic of collective attitude change. Using parameter estimation finds a way to obtain the values of transfer-probability, predilection the parameters, the evolvement contrail of collective and compliance parameters. By the judgment upon attitude can be found, and further more, whether the state of collective attitude is in stabilization or critical point of break can be ascertained. Applying the model of nonlinear dynamics to collective attitude change can help us to dynamically predominate the trends of collective attitude and especially to forecast emergence of sudden change for collective behaviors.
作者 李小平
出处 《复杂系统与复杂性科学》 EI CSCD 2008年第1期43-48,共6页 Complex Systems and Complexity Science
基金 江苏省教育厅社科项目(04SJD840011)
关键词 群体态度 主方程 参数估计 态度改变 collective attitude master equation parameter estimation attitude changing
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参考文献4

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同被引文献19

  • 1吴明证,梁宁建.态度的自动激活效应的初步研究[J].心理科学,2003,26(1):71-73. 被引量:7
  • 2张红涛,王二平.态度与行为关系研究现状及发展趋势[J].心理科学进展,2007,15(1):163-168. 被引量:146
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  • 5Coleman, P. T., Vallacher, R. R., Nowak, A. & Bui-Wrzosinska, L. (2007). Intractable conflict as an attractor: A dynamical systems approach to conflict escalation and intractability. American Behavior- al Scientist, 50, 1454 - 1475.
  • 6Coleman, P. T. , Bui- Wrzosinska, L. , Nowak, A. (2008). Toward a dynamical model of power and conflict. Paper presented at the 21st Annual Conference of the International Association of Conflict Man- agement in Chicago, IL, July, 2008.
  • 7Guastello, S. , Koopmans, M. , & Pincus, D. ( Eds. ). (2009). Chaos and complexity in psychology : The theory of nonlinear dynamical sys- tems. New York, NY: Cambridge University Press.
  • 8Heath, R. A. (2002). Can people predict chaotic sequences? Nonlinear Dynamics, Psychology, and Life Sciences, 6, 37 -54.
  • 9Johnson, S. L. , & Nowak, A. (2002). Dynamical patterns in bipolar depression. Personality and Social Psychology Review, 6, 380 - 387.
  • 10Johnson, D. W. , & Johnson, R. T. (2005). New developments in so- cial interdependence theory. Psychology Monographs, 131, 285 - 358.

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