A Case for Identity Hierarchies in Simulating Social Groups
Abstract
Keywords
Full Text:
PDFReferences
Cheng L, Yarlagadda R, Fookes C, Yarlagadda P (2014) A review of pedestrian group dynamics
and methodologies in modelling pedestrian group behaviours. World Journal of Mechanical
Engineering Vol. 1(1), pp. 002-013.
Costa M (2009) Interpersonal Distances in Group Walking. J Nonverbal Behav (2010) 34:15-26
Feng Y, Dewei L (2016) An Emprical Study and Conceptual Model on Heterogeneity of Pedestrian
Social Groups for Friend-group and Family-group. Pedestrian and Evacuation Dynamics 2016,
Collective Dynamics pp. 402-407
Zanlungo F, Yücel Z, Brščić D, Kanda T, Hagita N (2017) Intrinsic group behaviour: Dependence of
pedestrian dyad dynamics on principal social and personal features. PLoS ONE 12(11): e0187253
Gigerenzer G (2008) Why Heuristics Work. Perspectives on Psychological Science, Vol. 3, No. 1.
Seitz M, Bode N, Köster G (2016) How cognitive heuristics can explain social interactions in spatial
movement. Journal of Royal Society Interface, August 2016, vol. 13, Issue 21,
DOI:10.1098/rsif.2016.0439
Shah A, Oppenheimer D (2008) Heuristics Made Easy: An Effort-Reduction Framework. American
Psychological Association, Psychological Bulletin, 2008, Vol. 134, No. 2, 207–222
Garbarino E, Edell J (1997) Cognitive effort, affect, and choice. J. Consum. Res. 24, 147–158
Moussaïd M, Perozo N, Garnier S, Helbing D and Theraulaz G (2010) The walking behaviour of
pedestrian social groups and its impact on crowd dynamics. PLoS ONE 5(4): e10047
Helbing D, Buzna L, Johansson A, Werner T (2005) Self-Organized Pedestrian Crowd Dynamics:
Experiments, Simulations, and Design Solutions. Transportation Science 39: 1-24
Moussaïd M, Helbing D, Theraulaz G (2011) How simple rules determine pedestrian behavior and
crowd disasters. PNAS April 26, 2011. 108 (17) 6884-6888
Bar M (2007) The proactive brain: Using analogies and associations to generate predictions. Trends
in Cognitive Sciences, Volume 11, Issue 9, September 2007, pp. 372
Reicher S, Spears R, Postmes T (1995) A Social Identity Model of Deindividuation Phenomena.
European Review of Social Psychology 6(1):161-198
Reicher, S. D. (1984a). The St. Pauls riot: an explication of de limits of crowd action in terms of a
social identity model. Europeam Journal of Social Psychology, 14, 1–21
Turner J, Ontaro R (1999) The psychology of the social self: Social identity, personality and the selfconcept: A self-categorization perspective, Chapter 1. Psychology Press, Taylor and Francis Group
Sivers I, Templeton A, Köster G, Drury J, Philippides A (2014) Humans do not always act selfishly:
social identity and helping in emergency evacuation simulation. Proceedings of Conference on
Pedestrian and Evacuation Dynamics 2014, Transportation Research Procedia 2 585-593
Drury J, Cocking C (2007) The mass psychology of disasters and emergency evacuations: A research
report and implications for practice
Moral-Toranzo F, Canto-Ortiz J, Go´mez-Jacinto L (2005) Anonymity effects in computer-mediated
communication in the case of minority influence. Computers in Human Behavior 23 (2007) 1660–
Schmidt B (2001) Modelling of Human Behaviour: The PECS Reference Model. AAAI Technical
Report FS-01-02
Kielar P, Handel O, Biedermann D, Borrmann A (2014) Concurrent hierarchical finite state
machines for modeling pedestrian behavioral tendencies. Transportation Research Procedia 2 ( 2014 )
– 584
Golledge R, Jacobson R, Kitchin R, Blades M (2000) Cognitive Maps, Spatial Abilities, and Human
Wayfinding. Geographical Review of Japan Vol. 73 (Ser. B), No. 2, 93-104, 2000
Etienne A, Jeffery K (2004) Path Integration in Mammals. HIPPOCAMPUS 14:180 –192
Krüchten C, Schadschneider A (2007) Empirical study on social groups in pedestrian evacuation
dynamics. Physica A: Statistical Mechanics and its Applications, vol. 475, pp. 129-141
Jaklin N, Kremyzas A, Geraerts R (2015) Adding Sociality to Virtual pedestrian Groups.
Proceedings of Conference: 21th ACM Symposium on Virtual Reality Software and Technology
Frohnwieser A, Hopf R, Oberzaucher E (2013) Human Walking Behaviour – The Effect of
Pedestrian Flow and Personal Space Invasions on Walking Speed and Direction. Human Ethology
Bulletin 28 (2013):3 20-28, Brief Reports
Fridman N, Kaminka G (2007) Towards a Cognitive Model of Crowd Behavior Based on Social
Comparison Theory. Proceedings of the 22nd national conference on Artificial intelligence – vol. 1 pp.
-737
DOI: http://dx.doi.org/10.17815/CD.2020.98
Copyright (c) 2020 A. Platt, A. Kneidl

This work is licensed under a Creative Commons Attribution 4.0 International License.