Abstract
Group behavior is an important feature of conflict scenarios. Often such groups are chaotically organized, but their ideals are sociologically embedded across members such that the group has expected behavior that can represent a major threat. Therefore being able to model the evolution of groups on a generative basis, to anticipate their possible mutation, is valuable. However this is complex due to the diverse nature of human behavior and scenarios. In this paper we present an innovative approach to modeling these issues. Group identities are represented in terms of the behaviors (social norms) that members are expected to carry out towards other groups. Individuals predominantly compose their identity from the identity of the groups to which they belong, which is known to occur in situations of heightened conflict. The model introduced enables exploration of tensions associated with affiliation to multiple groups and the influence on inclusion and exclusion of individuals.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pettigrew, T.F., Tropp, L.R.: A meta-analytic test of intergroup contact theory. J. Pers. Soc. Psychol. 90(5), 751 (2006)
Allport, G.W.: The Nature of Prejudice. Basic Books (1979)
Fiske, S.T.: What we know now about bias and intergroup conflict, the problem of the century. Curr. Dir. Psychol. Sci. 11(4), 123–128 (2002)
Tajfel, H., Turner, J.C.: An integrative theory of intergroup conflict. Soc. Psychol. Intergroup Relat. 33(47), 74 (1979)
Hogg M.A.: Social identity theory. In: Understanding Peace and Conflict Through Social Identity Theory, pp. 3–17. Springer (2016)
Swann Jr., W.B., Gómez, Á., Seyle, D.C., Morales, J., Huici, C.: Identity fusion: the interplay of personal and social identities in extreme group behavior. J. Pers. Soc. Psychol. 96(5), 995 (2009)
Whitaker, R.M., Colombo, G.B., Allen, S.M., Dunbar, R.I.: A dominant social comparison heuristic unites alternative mechanisms for the evolution of indirect reciprocity. Sci. Rep. 6 (2016). Article No: 31459, https://www.nature.com/articles/srep31459
Whitaker, R.M., Felmlee, D., Verma, D.C., Preece, A., Williams, G.: From evolution to revolution: understanding mutability in large and disruptive human groups. In: SPIE Defense and Security (2017) (to appear)
Verma, D.C., Verma Felmlee, D.A., Pearson, G., Whitaker, R.M.: A generative model for predicting terrorist incidents. In: SPIE Defense and Security (2017) (to appear)
Naugle, A.B., Bernard, M.L.: Using computational modeling to examine shifts towards extremist behaviors in european diaspora communities. In: Advances in Cross-Cultural Decision Making, pp. 321–332. Springer (2017)
Anderson, E.: Beyond homo economicus: new developments in theories of social norms. Philos. Public Aff. 29(2), 170–200 (2000)
Acknowledgements
This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence under Agreement Number W911NF-16-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Army Research Laboratory, the U.S. Government, the U.K. Ministry of Defence or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copy-right notation hereon.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Whitaker, R.M., Turner, L., Colombo, G., Verma, D., Felmlee, D., Pearson, G. (2018). Intra-group Tension Under Inter-group Conflict: A Generative Model Using Group Social Norms and Identity. In: Hoffman, M. (eds) Advances in Cross-Cultural Decision Making. AHFE 2017. Advances in Intelligent Systems and Computing, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-60747-4_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-60747-4_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60746-7
Online ISBN: 978-3-319-60747-4
eBook Packages: EngineeringEngineering (R0)