Abstract
The bystander effect is a well-known phenomenon in criminology, stating that bystanders tend to inhibit people’s tendency to intervene in situations where norms are violated. This paper presents an agent-based simulation model of this phenomenon. The simulation model presented demonstrates the decision process of an agent for norm violation situations with different characteristics, such as high versus low personal implications. The model has been tested by performing a number of case studies. The outcome of these case studies show that the model is able to represent the behaviour of bystanders as expected based on various experimental studies.
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References
Latané, B., Darley, J.M.: Group inhibition of bystander intervention in emergencies. Journal of Personality and Social Psychology 10, 215–221 (1968)
Latané, B., Darley, J.M.: The unresponsive bystander: Why doesn’t he help? Appleton-Century-Crofts, New York (1970)
Latané, B., Nida, S.: Ten years of research on group size and helping. Psychological Bulletin 89, 308–324 (1981)
Levy, P., Lundgren, D., Ansel, M., Fell, D., Fink, B., McGrath, J.E.: Bystander effect in a demand-without-threat situation. Journal of Personality and Social Psychology 24, 166–171 (1972)
Freeman, S., Walker, M., Bordon, R., Latané, B.: Diffusion of responsibility and restaurant tipping: Cheaper by the bunch. Personality and Social Psychology Bulletin 1, 584–587 (1975)
Chekroun, P., Brauer, M.: The bystander effect and social control behaviour: the effect of the presence of others on people’s reactions to norm violations. European Journal of Social Psychology 32, 853–867 (2002)
Davidsson, P.: Agent Based Social Simulation: A Computer Science View. Journal of Artificial Societies and Social Simulation 5(1) (2002)
Bosse, T., Gerritsen, C., Treur, J.: Combining Rational and Biological Factors in Virtual Agent Decision Making. Journal of Applied Intelligence 34(1), 87–101 (2004)
van Baal, P.H.M.: Computer Simulations of Criminal Deterrence: from Public Policy to Local Interaction to Individual Behaviour. Ph.D. Thesis, Erasmus University Rotterdam. Boom Juridische Uitgevers (2004)
Bosse, T., Pontier, M.A., Treur, J.: A Computational Model based on Gross’ Emotion Regulation Theory. Cognitive Systems Research Journal 11, 211–230 (2010)
Rubino, R., Omicini, A., Denti, E.: Computational Institutions for Modelling Norm-Regulated MAS: An Approach Based on Coordination Artifacts. In: Boissier, O., Padget, J., Dignum, V., Lindemann, G., Matson, E., Ossowski, S., Sichman, J.S., Vázquez-Salceda, J. (eds.) ANIREM 2005 and OOOP 2005. LNCS (LNAI), vol. 3913, pp. 127–141. Springer, Heidelberg (2006)
Esteva, M., Padget, J., Sierra, C.: Formalizing a Language for Institutions and Norms. In: Meyer, J.-J.C., Tambe, M. (eds.) ATAL 2001. LNCS (LNAI), vol. 2333, pp. 348–366. Springer, Heidelberg (2002)
Boella, G., van der Torre, L.: Substantive and Procedural Norms in Normative Multiagent Systems. Journal of Applied Logic 6(2), 152–171 (2008)
Vázquez-Salceda, J., Aldewereld, H., Dignum, F.P.M.: Implementing Norms in Multiagent Systems. In: Lindemann, G., Denzinger, J., Timm, I.J., Unland, R. (eds.) MATES 2004. LNCS (LNAI), vol. 3187, pp. 313–327. Springer, Heidelberg (2004)
Bosse, T., Jonker, C.M., van der Meij, L., Treur, J.: A Language and Environment for Analysis of Dynamics by Simulation. International Journal of Artificial Intelligence Tools 16(3), 435–464 (2007)
Rao, A.S., Georgeff, M.P.: Modelling Rational Agents within a BDI-architecture. In: Allen, J., et al. (eds.) Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning (KR 1991), pp. 473–484. Morgan Kaufmann (1991)
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Gerritsen, C. (2011). The Bystander Effect: Agent-Based Simulation of People’s Reaction to Norm Violation. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24965-5_4
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DOI: https://doi.org/10.1007/978-3-642-24965-5_4
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