Abstract
Nowadays, more and more emergency evacuation simulations are used to evaluate the safety level of a building during an emergency evacuation after an accident. The heart of this kind of simulations is the simulation of human behavior because simulation results depend for a big part on how this behavior is simulated. However, human behaviors in a real emergency situation are determined by a lot of cognitive mechanisms. In order to make the simulation more realistic, plenty of factors (e.g. innate characteristics, perception of the environment, internal rules, personality and even emotions) that affect human behaviors must be taken into account. This paper focuses on the influence of emotions, and more precisely on the influence of their dynamics and propagation from an agent to another. The main contribution of this work is the development of a model of emotions taking into account their dynamics and their propagation and its integration in an evacuation simulation. The first results of the simulation show the benefits of considering emotion propagation.
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
Adam, C., Gaudou, B., Login, D., Lorini, E.: Logical modeling of emotions for ambient intelligence. In: Mastrogiovanni, F., Chong, N.Y. (eds.) Handbook of Research on Ambient Intelligence: Trends and Perspectives. IGI Global Publisher (2009) (to appear in 2010)
Amouroux, E., Chu, T., Boucher, A., Drogoul, A.: Gama: an environment for implementing and running spatially explicit multi-agent simulations. In: Pacific Rim International Workshop on Multi-Agents, Bangkoku, Thailand, pp. 359–371 (2007)
Arnold, M.B.: Emotion and personality. Columbia University Press, New York (1960)
Bosse, T., Duell, R., Memon, Z.A., Treur, J., van der Wal, C.N.: A Multi-Agent Model for Emotion Contagion Spirals Integrated Within a Supporting Ambient Agent Model. In: Yang, J.-J., Yokoo, M., Ito, T., Jin, Z., Scerri, P. (eds.) PRIMA 2009. LNCS (LNAI), vol. 5925, pp. 48–67. Springer, Heidelberg (2009)
Cabanac, M.: What is emotion? Behavioural Processes 60, 69–83 (2002)
Damasio, A.R.: Descartes’ Error: Emotion, Reason, and the Human Brain. Putnam Pub. Group (1994)
De Rosis, F., Pelachaud, C., Poggi, I., Carofiglio, V., De Carolis, B.: From greta’s mind to her face: Modelling the dynamics of affective states in a conversational embodied agent. International Journal of Human-Computer Studies 59, 81–118 (2003)
Forgas, J.: Mood and judgment: The affect infusion model (aim). Psychological Bulletin 117, 39–66 (1995)
Hollmann, C., Lawrence, P.J., Galea, E.R.: Introducing emotion modelling to agent-based pedestrian circulation simulation. In: PED 2010. NIST, Maryland (2010)
Lange, C., James, W.: The emotions. Hafner, New York (1967)
Lazarus, R.S.: Emotion and Adaptation. Oxford University Press (1991)
Musse, S.R., Thalmann, D.: Hierarchical model for real time simulation of virtual human crowds. IEEE Transactions on Visualization and Computer Graphics 7(2), 152–164 (2001)
Nair, R., Tambe, M., Marsella, S.: The role of emotions in multiagent team work. In: Fellous, J.M., Arbib, M. (eds.) Who Needs Emotions: the Brain Meets the Robot. Oxford University Press (2005)
North, M., Collier, N., Vos, J.: Experiences creating three implementations of the repast agent modeling toolkit. ACM Transactions on Modeling and Computer Simulation 16(1), 1–25 (2006)
Ortony, A., Clore, G., Collins, A.: The cognitive structure of emotions. Cambridge University Press, United Kingdom (1988)
Parunak, H.V.D., Bisson, R., Brueckner, S., Matthews, R., Sauter, J.: A model of emotions for situated agents. In: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2006, Hakodate, Hokkaido, Japan, pp. 993–995 (2006)
Rao, A.S., Georgeff, M.P.: Modeling rational agents within a bdi-architecture. In: Allen, J.A., Fikes, R., Sandewall, E. (eds.) Proc. Second Int. Conf. on Principles of Knowledge Representation and Reasoning (KR 1991), pp. 473–484. Morgan Kaufmann Publishers (1991)
Ren, A., Chen, C., Luo, Y.: Simulation of Emergency Evacuation in Virtual Reality. Tsinghua Science Technology 13(5), 674–680 (2008)
Shendarkar, A., Vasudevan, K., Lee, S., Son, Y.J.: Crowd simulation for emergency response using BDI agents based on immersive virtual reality. Simulation Modelling Practice and Theory 16(9), 1415–1429 (2008)
Stroehle, J.: How do pedestrian crowds react when they are in an emergency situation - models and software Pedestrian behavior (2008)
Taillandier, P., Drogoul, A., Vo, D., Amouroux, E.: Gama: A Simulation Platform That Integrates Geographical Information Data, Agent-Based Modeling and Multi-Scale Control. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS(LNAI), vol. 7057, pp. 244–260. Springer, Heidelberg (2011)
Zoumpoulaki, A., Avradinis, N., Vosinakis, S.: A Multi-Agent Simulation Frame Work for Emergency Evacuations Incorporating Personality and Emotions. In: Konstantopoulos, S., Perantonis, S., Karkaletsis, V., Spyropoulos, C.D., Vouros, G. (eds.) SETN 2010. LNCS (LNAI), vol. 6040, pp. 423–428. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Van Minh, L., Adam, C., Canal, R., Gaudou, B., Tuong Vinh, H., Taillandier, P. (2012). Simulation of the Emotion Dynamics in a Group of Agents in an Evacuation Situation. In: Desai, N., Liu, A., Winikoff, M. (eds) Principles and Practice of Multi-Agent Systems. PRIMA 2010. Lecture Notes in Computer Science(), vol 7057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25920-3_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-25920-3_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25919-7
Online ISBN: 978-3-642-25920-3
eBook Packages: Computer ScienceComputer Science (R0)