A generic cognitive architecture framework with personality and emotions for crowd simulation

Crowd simulation has gained a great deal of attention recently due to its essential use in games and diverse 3D simulation. Incorporating psychological aspects into agents is an important task in order to build human-like agents in crowd simulation. However, traditional approaches incorporate psychological aspects into low-level agent parameters thus only work in specific environments. This paper proposes a generic cognitive architecture framework that implements psychological aspects to create human-like agents for general-purpose crowd simulation. We also present a computational model as a proof-of-concept