A rules-based model used to describe group dynamics for games

We present a rules-based model in which virtual agents have different individualities and can acquire social abilities as a function of rewards. Moreover, the agents can group with others they had interacted in past time, and these formed groups are characterized based on group cohesion (generated as a function of its members). One of the goals of this model aims to provide different group animation (density, formation and motion) based on group characteristics, consequently, the realism of the rules used in the model can impact the visual result. We propose an integration with a physics model in order to generate the required information to be used in these rules. Finally, some results and discussions about applying this methodology in a combat game are presented.