Abstract
This paper is concerned with the development of an agent-based model of population behaviour during a bushfire, to form the basis of a simulator that will be used as a decision-support tool for emergency managers. To ensure the validity of the simulation results, it is essential that the model, and the underlying agent architecture, are as realistic as possible. After providing some context about recent bushfires in Victoria, Australia, we justify the need for a BDI (belief, desire, intention) agent architecture. Although some tools exist to support the integration of such agents in simulations, they are infrequently used. We therefore show how an existing methodology for modelling military tactics can be adapted to this context. The contribution of this paper is two-fold: providing an agent-based model of population behaviour during bushfires; and presenting a methodology that can be used by other model designers in the field of crisis management.
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Notes
- 1.
The authors do not explicitly claim that their list is exhaustive, but we could not identify any other profile from the other surveys that we studied.
References
Adam, C., Gaudou, B., Hickmott, S., Scerri, D.: Agents BDI et simulations sociales. Revue d’Intelligence Artificielle (RIA) - Num. Spec. Simul. Multi-Agent. 25(1), 11–42 (2011)
Adam, C., Herzig, A., Longin, D.: A logical formalization of the occ theory of emotions. Synthese 168(2), 201–248 (2009)
Anderson, J.: The Architecture of Cognition. Harvard University Press, Cambridge (1983)
Balke, T., Gilbert, N.: How do agents make decisions? a survey. J. Artif. Soc. Soc. Simul. (JASSS) 17(4), 13, 31 Oct 2014. http://jasss.soc.surrey.ac.uk/17/4/13.html
Beck, E., Dugdale, J., Van Truong, H., Adam, C., Colbeau-Justin, L.: Crisis mobility of pedestrians: from survey to modelling, lessons from Lebanon and Argentina. In: Hanachi, C., Bénaben, F., Charoy, F. (eds.) ISCRAM-med 2014. LNBIP, vol. 196, pp. 57–70. Springer, Heidelberg (2014)
Chen, Q., Wilsher, A., Singh, D., Padgham, L.: Adding bdi agents to matsim traffic simulator (demonstration). In: AAMAS, pp. 1637–1638 (2014)
F.S. Commissioner: Review of the community response in recent bushfires. Technical report, NOUS group, 12 Sept 2013. http://goo.gl/wJcGn3
Evertsz, R., Ritter, F.E., Busetta, P., Pedrotti, M., Bittner, J.L.: CoJACK achieving principled behaviour variation in a moderated cognitive architecture. In: BRIMS (2008)
Evertsz, R., Thangarajah, J., Yadav, N., Li, T.: Tactics development framework (demonstration). In: AAMAS, pp. 1639–1640 (2014)
Evertsz, R., Thangarajah, J., Yadav, N., Li, T.: Agent oriented modelling of tactical decision making. In: Bordini, R.H., Elkind, E., Weiss, G., Yolum, P. (eds.) AAMAS. IFAAMAS, Istanbul, Turkey, 4–8 May 2015
Grignard., A., Taillandier, P., Gaudou, B., Huynh, N., Vo, D.-A., Drogoul, A.: Gama v. 1.6: advancing the art of complex agent-based modeling and simulation. In: PRIMA (2013)
McNeill, I., Dunlop, P., Skinner, T., Morrison, D.: Information processing under stress: community reactions. Technical report, Bushfire CRC, Australia (2014). http://goo.gl/TkcC4d
Van Minh, L., Adam, C., Canal, R., Gaudou, B., Tuong Vinh, H., Taillandier, P.: Simulation of the emotion dynamics in a group of agents in an evacuation situation. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS, vol. 7057, pp. 604–619. Springer, Heidelberg (2012)
Padgham, L., Winikoff, M.M.: Developing Intelligent Agent Systems: A Practical Guide. Wiley, Chichester (2004)
Padgham, L., Nagel, K., Singh, D., Chen, Q.: Integrating bdi agents into a matsim simulation. In: ECAI, pp. 681–686 (2014)
Rao, A., Georgeff, M.: Bdi agents: from theory to practice. In: First ICMAS, pp. 312–319, San Francisco, USA (1995)
Rhodes, A.: Why dont they do what we think they should? understanding peoples response to natural hazards. Technical report, Emergency Management Victoria - AFAC, September 2014. Paper at http://goo.gl/D0R8YC, Slides at http://goo.gl/MUr7K9
Rosenbloom, P.S., Laird, J.E., Newell, A.: The SOAR Papers: Research on Integrated Intelligence. MIT Press, Cambridge (1993)
Scerri, D., Hickmott, S., Bosomworth, K., Padgham, L.: Using modular simulation and agent based modelling to explore emergency management scenarios. Aust. J. Emerg. Manag. 27(3), 44–48 (2012)
Teague, B., McLeod, R., Pascoe, S.: Final report. Technical report, 2009 Victorian Bushfires Royal Commission (2009). http://goo.gl/dtXnHE
Truong, H.V., Beck, E., Dugdale, J., Adam, C.: Developing a model of evacuation after an earthquake in Lebanon. In: ISCRAM Vietnam (2013)
van Ruijven, T.: Serious games as experiments for emergency management research: a review. In: 8th International ISCRAM Conference, Lisbon, Portugal, May 2011
Wooldridge, M.: An Introduction to Multiagent Systems. Wiley, New York (2008)
Acknowledgements
The first author would like to thank Grenoble Informatics Laboratory for funding her mission to Melbourne, Australia between January–March 2015, and to RMIT University for hosting her during that time. She would like to particularly thank John Thangarajah and Rick Evertsz for their help with the TDF methodology and tool.
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Adam, C., Beck, E., Dugdale, J. (2015). Modelling the Tactical Behaviour of the Australian Population in a Bushfire. In: Bellamine Ben Saoud, N., Adam, C., Hanachi, C. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2015. Lecture Notes in Business Information Processing, vol 233. Springer, Cham. https://doi.org/10.1007/978-3-319-24399-3_5
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