A computational framework for modelling inter-group behaviour using psychological theory

Bellamy, Rachel, Colombo, Gualtiero, Eshghi, Soheil, de Mel, Geeth, Giammanco, Cheryl, Morris, Rhodri ORCID: https://orcid.org/0000-0002-9105-5378, Rand, David, Turner, Liam ORCID: https://orcid.org/0000-0003-4877-5289, Whitaker, Roger ORCID: https://orcid.org/0000-0002-8473-1913 and Williams, Grace-Rose 2018. A computational framework for modelling inter-group behaviour using psychological theory. Presented at: SPIE Defense + Security 2018, Orlando, FL, USA, 15-18 April 2018. Proceedings Volume 10653, Next-Generation Analyst VI. , vol.10653 International Society for Optics and Photonics, 106530G. 10.1117/12.2309621

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Abstract

Psychological theories of inter-group behaviour offer justified representations for interaction, influence, and motivation for coalescence. Agent-based modelling of this behaviour, using evolutionary approaches, further provides a powerful tool to examine the implications of these theories in a dynamic context. In particular, this can enhance our understanding of the escalation of hostility and warfare, and its mitigation, contributing to policy and interventions. In this paper we propose a framework through which social psychology can be embedded in computation for the examination of inter-group behaviour. We examine how various social-psychological theories can be embedded in evolutionary models, and identify ways in which visualisation can support the objective assessment of emergent behaviour. We also discuss how real-world data can be used to parameterise scenarios on which modelling is conducted.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Unpublished
Schools:	Computer Science & Informatics Crime and Security Research Institute (CSURI)
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	International Society for Optics and Photonics
Date of First Compliant Deposit:	27 July 2018
Last Modified:	21 Oct 2024 11:18
URI:	https://orca.cardiff.ac.uk/id/eprint/111975

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