Abstract
Simulation is an important approach to the study of scenarios of confrontation among antagonistic groups. It remains a research issue to explore the influence of the crowd size and imbalance between groups’ sizes on the process of confrontation. In this study, a multi-agent simulation system has been developed with functional programming model (FPM). FPM can easily formulate the simultaneous behaviors/actions of individuals. It also provides “communication backbone” for agents’ interactions. A timing system has been designed to drive the simulation procedure. Our simulations focus on whether/how a confrontational scenario may remain stable. Experimental results indicate that with the increment of the overall size of the crowd in confrontation, the possibility of the scenario getting out of control rises. A relatively small scale of crowd is much more controllable.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bu, F.: Modeling and Simulation of Mass Violence Event Based on Agent Technology. In: 2nd IEEE International Conference Emergency Management and Management Sciences, ICEMMS (2011)
Chao, W., Li, T.: Simulation of Social Behaviors in Virtual Crowd. Computer Animation and Social Agents (2010)
Collins, R.: Violence: A Micro-sociological Theory. Princeton University Press (2009)
Field, A.J., Harrison, P.G.: Functional Programming. Addison-Wesley, Reading (1988)
Hill, J., Randall, W.: Modeling Perceptual Attention in Virtual Humans. In: Proceedings of the 8th Conference on Computer Generated Forces and Behavioral Representation, pp. 563–573 (1999)
Fridman, N., Kaminka, G.A., Zilka, A.: Towards Qualitative Reasoning for Policy Decision Support in Demonstrations. In: Dechesne, F., Hattori, H., ter Mors, A., Such, J.M., Weyns, D., Dignum, F. (eds.) AAMAS 2011 Workshops. LNCS, vol. 7068, pp. 19–34. Springer, Heidelberg (2012)
Pan, X., Charles, S.H., Ken, D., Kincho, H.L.: Human and Social Behavior in Computational Modeling and Analysis of Egress. Automation in Construction 15(4), 448–461 (2006)
Ulf, E.: Design Patterns for Simulations in Erlang/OTP. Computing Science 178 Examensarbete DV3 (2000) ISSN 1100-1836
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tang, L., Dou, M., Deng, Z., Chen, D. (2013). Confrontation Scenario Simulation Using Functional Programming Model. In: Tan, G., Yeo, G.K., Turner, S.J., Teo, Y.M. (eds) AsiaSim 2013. AsiaSim 2013. Communications in Computer and Information Science, vol 402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45037-2_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-45037-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45036-5
Online ISBN: 978-3-642-45037-2
eBook Packages: Computer ScienceComputer Science (R0)