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

  • Cagatay Turkay
  • Emre Koc
  • Selim Balcisoy
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 62)


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


Agent Representation Computer Animation Crowd Behavior Path Planning Algorithm Crowd Simulator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.University of BergenBergenNorway
  2. 2.Sabanci UniversityIstanbulTurkey

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