Skip to main content

Agent-Based Analysis of Patterns in Crowd Behaviour Involving Contagion of Mental States

  • Conference paper
Modern Approaches in Applied Intelligence (IEA/AIE 2011)

Abstract

In this paper an agent-based analysis is made of patterns in crowd behaviour, in particular to simulate a real-life incident that took place on May 4, 2010 in Amsterdam. As a basis, an existing agent-based model is used for contagion of emotions, beliefs and intentions. From available video material and witness reports, useful empirical data were extracted. Similar patterns were achieved in simulations, whereby some of the parameters of the model were tuned to the case addressed, and most parameters were assigned default values. The results show the inclusion of contagion of belief, emotion, and intention states of agents results in better reproduction of the incident than non-inclusion.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bechara, A., Damasio, A.: The Somatic Marker Hypothesis: A Neural Theory of Economic Decision. Games and Economic Behavior 52, 336–372 (2004)

    Article  MATH  Google Scholar 

  2. Bosse, T., Memon, Z.A., Treur, J., Umair, M.: An Adaptive Human-Aware Software Agent Supporting Attention-Demanding Tasks. In: Yang, J.-J., Yokoo, M., Ito, T., Jin, Z., Scerri, P. (eds.) PRIMA 2009. LNCS, vol. 5925, pp. 292–307. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Braun, A., Musse, S.R., de Oliveira, L.P.L., Bodmann, B.E.J.: Modeling Individual Behaviors in Crowd Simulation. In: The 16th International Conference on Computer Animation and Social Agents CASA 2003, pp. 143–147. IEEE Press, New Jersey (2003)

    Google Scholar 

  4. Helbing, D., Farkas, I., Vicsek, T.: Simulating Dynamical Features of Escape Panic. Nature 407(6803), 487–490 (2000)

    Article  Google Scholar 

  5. Hoogendoorn, M., Treur, J., van der Wal, C.N., van Wissen, A.: Modelling the Interplay of Emotions, Beliefs and Intentions within Collective Decision Making Based on Insights from Social Neuroscience. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds.) ICONIP 2010, Part I. LNCS (LNAI), vol. 6443, pp. 196–206. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Iacoboni, M.: Mirroring People: The New Science of How We Connect with Others. Farrar, Straus & Giroux, New York (2008)

    Google Scholar 

  7. Musse, S.R., Thalmann, D.: A Model of Human Crowd Behavior: Group Inter-relationship and Collision Detection Analysis. Computer Animation and Simulation 97, 39–51 (1997)

    Article  Google Scholar 

  8. Pelechano, N., O’brien, K., Silverman, B., Badler, N.: Crowd Simulation Incorporating Agent Psychological Models, Roles and Communication. In: First International Workshop on Crowd Simulation, V-CROWDS 2005, Lausanne, Switzerland, pp. 21–30 (2005)

    Google Scholar 

  9. Pineda, J.A. (ed.): Mirror Neuron Systems: the Role of Mirroring Processes in Social Cognition. Humana Press Inc., New Jersey (2009)

    Google Scholar 

  10. Rizzolatti, G., Sinigaglia, C.: Mirrors in the Brain: How Our Minds Share Actions and Emotions. Oxford University Press, Oxford (2008)

    Google Scholar 

  11. Sakuma, T., Mukai, T., Kuriyama, S.: Psychological model for animating crowded pedestrians. Computer Animation and Virtual Worlds 16, 343–351 (2005)

    Article  Google Scholar 

  12. Sorenson, H.W.: Parameter Estimation: Principles and Problems. Marcel Dekker, Inc., New York (1980)

    MATH  Google Scholar 

  13. Tsai, J., Fridman, N., Bowring, E., Brown, M., Epstein, S., Kaminka, G., Marsella, S., Ogden, A., Rika, I., Sheel, A., Taylor, M.E., Wang, X., Zilka, A., Tambe, M.: ESCAPES - Evacuation Simulation with Children, Authorities, Parents, Emotions, and Social comparison. In: Tumer, K., Yolum, P., Sonenberg, L., Stone, P. (eds.) Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Innovative Applications Track (in press, 2011)

    Google Scholar 

  14. Ulicny, B., Thalmann, D.: Crowd Simulation for Interactive Virtual Environments and VR Training systems. In: Proceedings of the Eurographics Workshop on Animation and Simulation 2001, pp. 163–170. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bosse, T., Hoogendoorn, M., Klein, M.C.A., Treur, J., van der Wal, C.N. (2011). Agent-Based Analysis of Patterns in Crowd Behaviour Involving Contagion of Mental States. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21827-9_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21826-2

  • Online ISBN: 978-3-642-21827-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics