Skip to main content

An Information Theory Based Behavioral Model for Agent-Based Crowd Simulations

  • Conference paper
  • First Online:
Computer and Information Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 62))

Abstract

In this paper, we propose a novel behavioral model which builds analytical maps to control agents’ behavior adaptively with agentcrowd interaction formulations. We introduce information theoretical concepts to construct analytical maps automatically. Our model can be integrated into crowd simulators and enhance their behavioral complexity

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Cagatay Turkay, Emre Koc, and Selim Balcisoy. An information theoretic approach to camera control for crowded scenes. The Visual Computer, 25(5–7):451–459, 2009.

    Article  Google Scholar 

  2. N. Pelechano, K. OBrien, B. Silverman, and N. Badler. Crowd simulation incorporating agent psychological models, roles and communication. In First International Workshop on Crowd Simulation, 2005.

    Google Scholar 

  3. R. Gayle, A. Sud, E. Andersen, S.J. Guy, M.C. Lin, and D. Manocha. Interactive Navigation of Heterogeneous Agents Using Adaptive Roadmaps. Visualization and Computer Graphics, IEEE Transactions on, 15(1):34–48, 2009.

    Article  Google Scholar 

  4. M. Sung, M. Gleicher, and S. Chenney. Scalable behaviors for crowd simulation. In Computer Graphics Forum, volume 23, pages 519–528, 2004.

    Article  Google Scholar 

  5. Cagatay Turkay, Emre Koc, Kamer Yuksel, and Selim Balcisoy. Adaptive behavioral modeling for crowd simulations. In Proceedings of International Conference on Computer Animation and Social Agents (Short Papers), pages 65–68, 2009.

    Google Scholar 

  6. Yeh Hengchin, Curtis Sean, Patil Sachin, van den Berg Jur, Manocha Dinesh, and Lin Ming. Composite agents. In Symposium on Computer Animation - SCA’08, 2008.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cagatay Turkay .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this paper

Cite this paper

Turkay, C., Koc, E., Balcisoy, S. (2011). An Information Theory Based Behavioral Model for Agent-Based Crowd Simulations. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_70

Download citation

  • DOI: https://doi.org/10.1007/978-90-481-9794-1_70

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9793-4

  • Online ISBN: 978-90-481-9794-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics