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Opinion Dynamics Under Intergroup Conflict Escalation

Meysam Alizadeh, Alin Coman, Michael Lewis, Katia Sycara
Submitted By: malizade
Submitted: Mar 14, 2014
Last Updated: Oct 29, 2014
243 Downloads (9 Downloads in the last 3 months)

For our modeling purposes, we modify the 2D BCR model in three ways. First, to make the model more realistic by letting agents to interact in a social network structure in which each agent has limited number of neighbors. While in 2D BCR model agents are allowed to interact with any random agent in the population, we limit this communication to only their immediate neighbors. Second, to capture the group identification mechanism, we randomly assign all agents to m different groups. Third, we modify the belief updating rule to incorporate empirical findings from social psychology literature. In general, the findings state that escalation of the perceived intergroup tensions leads individuals to differentiate more from out-groups (Deschamps and Brown 1983; Brown et al. 1986). In our proposed model, we assume that a tension between groups exist a priori in the population. Moreover, since the findings just held true for “differentiating beliefs”, we assume that x1 and x2 are differentiating beliefs.

This model is associated with a publication:

Meysam Alizadeh, Alin Coman, Michael Lewis, Claudio Cioffi-Revilla (2014) Intergroup Conflict Escalation Leads to more Extremism. Journal of Artificial Societies and Social Simulation 17(4), 4.

This is a replication of a previously published model:

HUET, S., Deffuant, G., & Jager, W. (2008). Rejection mechanism in 2D bounded confidence provides more conformity. Advances in Complex Systems, 11(4), 529–549.

Cite This Model:
Alizadeh, Meysam, Coman, Alin, Lewis, Michael, Sycara, Katia (2014, October 29). "Opinion Dynamics Under Intergroup Conflict Escalation" (Version 2). CoMSES Computational Model Library. Retrieved from:
Model Version: 2 [Latest]
Version Notes:

Programming Language: Python 3.3
Operating System: Microsoft Windows
Licensed Under: Academic Free License 3.0
Instructions on Running This Model:
Open the code file with Notepad++, then copy and paste the content into your Python IDLE.

Available Model Versions
Version Number Submitted
1 03/14/2014
2 10/29/2014
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