Abstract
A key challenge in social simulation is how to represent human behavior, specifically in its social context. The Social Identity approach (SIA) reflects a promising potential as it describes how people behave while being part of a group, how groups interact and how these interactions and ‘appropriate group behaviors’ can change over time. SIA is used in a variety of fields and increasingly implemented in agent-based models. A systematic review and comparison of SIA formalizations and implementations is so far missing. We present our impressions from a pre-review of the current state of SIA models, such as what key SIA concepts have been formalized and how their formalization compares. We found a diversity of application areas of models that use (parts of) SIA. We further noted differences in how parts of SIA have been formalized and used, e.g. the widespread use of the emergence of group norms and behavior, while other SIA aspects such as different strategies to positive self-esteem received little attention.
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References
M. Schlüter, A. Baeza, G. Dressler, K. Frank, J. Groeneveld, W. Jager et al., A frame-work for mapping and comparing behavioural theories in models of social-ecological sys-tems. Ecol. Econ. 131, 21–35 (2017)
H. Tajfel, J.C. Turner, An intergrative theory of intergroup conflict. In W. G. Austin, S. Worchel (Eds.). The social psychology of intergroup relations (pp. 33–47). Monterey, CA: Brooks/Cole (1979)
J.C. Turner, M.A. Hogg, P.J. Oakes, S.D. Reicher, M.S. Wetherell, Rediscovering the Social Group: A Self-Categorization Theory (Basil Blackwell, Oxford, England, 1987
S.D. Reicher, R. Spears, S.A. Haslam, The social identity approach in social psychology. In Margaret S. Wetherell, Chandra T. Mohanty, (Eds.), The SAGE Handbook of Identities (pp. 45–62). London: Sage (2010)
H. Tajfel, Intergroup behaviour. Introducing social psychology. Harmondsworth: Penguin, 401–422 (1978)
K.S. Fielding, D.J. Terry, B.M. Masser, M.A. Hogg, Integrating social identity theory and the theory of planned behaviour to explain decisions to engage in sustainable agricultural practices. Br. J. Soc. Psychol. 47(1), 23–48 (2008)
J.H. Liu, M.S. Wilson, J. McClure, T.R. Higgins, Social identity and the perception of history: cultural representations of Aotearoa/New Zealand. Eur. J. Soc. Psychol. 29(8), 1021–1047 (1999)
N. Ellemers, D. De Gilder, S.A. Haslam, Motivating individuals and groups at work: a social identity perspective on leadership and group performance. Acad. Manag. Rev. 29(3), 459–478 (2004)
S. Greene, Social identity theory and party identification. Soc. Sci. Q. 85(1), 136–153 (2004)
T. Masson, I. Fritsche, Adherence to climate change-related ingroup norms: do dimensions of group identification matter? Eur. J. Soc. Psychol. 44, 455–465 (2014)
J. Kopecky, N. Bos, A. Greenberg, Social identity modeling: Past work and relevant issues for socio-cultural modeling. in Proceedings of the 19th Conference on Behavior Representation in Modeling and Simulation. Charleston, SC (2010)
A. Zick, Theorie sozialer Identität (S. 409). In T. Bonacker (Eds.), Sozialwissenschaftliche Konflikttheorien. Eine Einführung (4th edition.). Wiesbaden: VS. Verlag für Sozialwissen-schaften (2008)
B. Pires, A.T. Crooks, Modeling the emergence of riots: a geosimulation approach. Comput. Environ. Urban Syst. 61, 66–80 (2017)
A. Templeton, J. Drury, A. Philippides, From mindless masses to small groups: conceptualizing collective behavior in crowd modeling. Rev. Gen. Psychol. 19(3), 215–229 (2015)
G. Dressler, J. Groeneveld, C.M. Buchmann, C. Guo, N. Hase, J. Thober et al., Implications of behavioral change for the resilience of pastoral systems—lessons from an agent-based model. Ecol. Complex. 40 (2018)
N. Wijermans, W.J. Boonstra, K. Orach, J. Hentati-Sundberg, M. Schlüter, Careful what you fish for - Addressing behavioural diversity in fishery models. (in review)
D. Miodownik, The Emergence of Demands for Regional Autonomy (University of Pennsylvania, Diss, 2005)
G.J. Hofstede, F. Dignum, R. Prada, J. Student, L. Vanhée, Gender Differences: The Role of Nature, Nurture, Social Identity and Self-Organization (International Workshop on Multi-Agent Systems and Agent-Based Simulation. Springer, Cham, 2014)
R.S. Morano, E. Alves de Moraes, R.R. Jacomossi, Can small groups avoid the tragedy of the commons?. Ai & Society 33(1), 71–80 (2018)
M.A. Upal, S. Gibbon, Agent-based system for simulating the dynamics of social identity beliefs. SpringSim (ANSS) (2015)
B. Moulin, B. Larochelle, Crowdmags, Multi-agent Geo-Simulation of the interactions of a crowd and control forces. Model. Simul. Ident. 213–237 (2010)
A. Kustov, How ethnic structure affects civil conflict: A model of endogenous grievance. Conflict Manage. Peace Sci. 34(6), 660–679 (2017)
N. Nan, E.W. Johnston, J.S. Olson, N. Bos, Beyond being in the lab: using multi-agent modeling to isolate competing hypotheses. CHI'05 Extended Abstracts on Human Factors in Computing Systems. ACM (2005)
P. Valkering, D. Tabara, P. Wallman, A. Offermans, Modelling cultural and behavioural change in water management: an integrated, agent based, gaming approach. Integr. Assess. 91 (2009)
B. Skarin, Social Identity Simulation System (SISTEM) (Aptima, Inc Woburn United States, 2014)
S. Pascucci, L. Dries, K. Karantininis, G. Martino, F.H. Ambrosius, G.J. Hofstede, A.J. Beulens, Modelling farmer decision-making: the case of the Dutch pork sector. Br. Food J. 11710 2582–2597 (2015)
N. Criado, R. Awais, L. Leite, Flash mobs, Arab Spring and protest movements: can we analyse group identities in online conversations? Expert Syst. Appl. 62, 212–224 (2016)
M. Mekni, Crowd simulation using informed virtual geospatial environments. 2nd WSEAS International Conference on Information Technology and Computer Networks. Vol. 1. (2013)
R.A. Grier, B. Skarin, A. Lubyansky, L. Wolpert, SCIPR: A computational model to simulate cultural identities for predicting reactions to events. Proceedings of the second international conference on computational cultural dynamics. sn (2008)
D. Sarpong, S. Dong, G. Appiah, ‘Vinyl never say die’: The re-incarnation, adoption and diffusion of retro-technologies. Technol. Forecast. Soc. Chang. 103, 109–118 (2016)
P.J. Oakes, The Salience of Social Categories. Rediscovering the Social Group: A Self-Categorization Theory. (Cambridge, Blackwell, 1987), pp. 142–170
J. Dimas, R. Prada, Dynamic Identity Model for Agents. Multi-Agent-Based (2013)
Simulation XIV: 37–52 (2014)
L. Salzarulo, Formalizing self-categorization theory to simulate the formation of social groups. in Proceedings of the Second European Social Simulation Association Conference (ESSA04) (2004)
L. Salzarulo, A continuous opinion dynamics model based on the principle of meta-contrast. J. Artif. Soc. Soc. Simul. 91 (2006)
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Scholz, G., Eberhard, T., Ostrowski, R., Wijermans, N. (2021). Social Identity in Agent-Based Models—Exploring the State of the Art. In: Ahrweiler, P., Neumann, M. (eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_6
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