Chaotic patterns in crowd simulation

  • Authors:

  • Blanca Cases;Francisco Javier Olasagasti;Abdelmalik Moujahid;Alicia D'Anjou;Manuel Graña

  • Affiliations:

  • Computational Intelligence Group, UPV, EHU, Facultad de Informática, San Sebastián, Spain;Computational Intelligence Group, UPV, EHU, Facultad de Informática, San Sebastián, Spain;Computational Intelligence Group, UPV, EHU, Facultad de Informática, San Sebastián, Spain;Computational Intelligence Group, UPV, EHU, Facultad de Informática, San Sebastián, Spain;Computational Intelligence Group, UPV, EHU, Facultad de Informática, San Sebastián, Spain

  • Venue:
  • ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
  • Year:
  • 2009

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Abstract

We have developed a model of crowd based on social agents and swarm intelligence. The model takes the form of a randomly generated directed graph where nodes represent individuals locked in a room where a fire occurs. Each individual follows connected individuals, called the references. There are two special individuals, the firefighters, situated at the two exits from the room: exit T or true and exit F or false. The agents are directed at targets T and F in a computer animation implemented in Netlogo. They come into conflict of over-information when they receive contradictory information from their references. We studied experimentally the influence of the following mechanisms of conflict resolution: follow the mode or the anti-mode, random resolution and the effect of excluding the own opinion. We found that these mechanisms lead people following the mode to unanimously choose one of the options, flocking towards the selected goal. In the case of anti-mode, the population oscillates between the two options. The number of references is critical to this behavior and following one or two references with exclusion of the own state leads the system to chaotic patterns of convergence.