Intra-group tension under inter-group conflict: A generative model using group social norms and identity

Roger M. Whitaker, Liam Turner, Gualtiero Colombo, Dinesh Verma, Diane Felmlee, Gavin Pearson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationAdvances in Cross-Cultural Decision Making - Proceedings of the AHFE 2017 International Conference on Cross-Cultural Decision Making, 2017
EditorsMark Hoffman
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319607467
StatePublished - 2018
EventAHFE 2017 International Conference on Cross-Cultural Decision Making, 2017 - Los Angeles, United States
Duration: Jul 17 2017Jul 21 2017

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


OtherAHFE 2017 International Conference on Cross-Cultural Decision Making, 2017
Country/TerritoryUnited States
CityLos Angeles

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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