A role modelling approach for crowd animation in a multi-agent cooperative system

This paper presents a multi-agent cooperative system for crowd animation. It analyses related work about crowd animation first. Then, a multi-agent crowd animation system architecture is introduced, which offers a promising framework for dynamically creating and managing agent communities in widely distributed environments. Next, a role modeling approach based on dynamic self-adaptive genetic algorithm and NURBS (Non Uniform Relational B Splines) technology is presented. Following, a group of fishes modelling example is illustrated for showing the modeling process in the system. Finally, the current work is summarised and an outlook for the future work is given.