Multi-agent Frame of Social Distances Model
ACRI '08 Proceedings of the 8th international conference on Cellular Automata for Reseach and Industry
Multi-agent Systems in Pedestrian Dynamics Modeling
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Improving crowd behaviour for games and virtual worlds
Proceedings of the Fifth International Conference on the Foundations of Digital Games
A simulation of bonding effects and their impacts on pedestrian dynamics
IEEE Transactions on Intelligent Transportation Systems
Applying Cellular Automata and DEVS Methodologies to Digital Games: A Survey
Simulation and Gaming
A cellular automata based crowd behavior model
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
Knowledge representation of pedestrian dynamics in crowd: formalism of cellular automata
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Modeling people flow: a real life case study in ITU science center
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
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The knowledge of the issues connected with pedestrian can be very helpful in the proper desing of buildings or other facilities. A simulation should take into consideration both, normal as well as evacuation conditions. Over the recent years several models of pedestrian movement have been created. The first part of the article contains a brief review of some available models. Then, the author proposes a model of pedestrians group dynamics in normal and evacuation situations. A 2D Cellular Automata, multi-agent model is created. The model proposed takes into account some strategic abilities of each agent/pedestrian. In the model, all decisions are made by an agent in correlation with other agents.