An Approach Based on Possibilistic WorkFlow Nets to Model Multiplayer Video Games

Abstract

In this paper, an approach based on Possibilistic WorkFlow nets is proposed to model mutiplayer game scenarios. In a multiplayer game scenario, the actions of a player may influence, directly or indirectly, the actions of other players. This type of interaction may change the normal flow of activities in the game causing eventually then an uncertain behavior. In this work, the routing structure of WorkFlow nets to model the activities of a multiplayer video game is used. The uncertain reasoning of a possibilistic Petri net is then used to represent the possible interactions between the players. The resulting model (Multiplayer Game activity Model) can then simulate and analyze (qualitatively and quantitatively) the game’s behavior in terms of its gameplay. The video game Tom Clancy’s Ghost Recon: Wildlands is used to illustrate the proposed approach.