A Fuzzy State Machine applied to an emotion model for electronic game characters

In this paper, we investigate an emotion model for characters of electronic games. Aiming at simulating the emotion model, a fuzzy state machine(FuSM) with a new function for transferring membership degrees was proposed. The FuSM was applied to a virtual character of a chess game, that was able to react, in the form of facial expressions, according to moves of the game. Simulation results show the great potential of expression of FuSM, due to the fact that it can act on several states at the same time. Promising results were obtained with the proposed new FuSM transfer function, which was able to efficiently smoothen transitions among emotion states, creating good quality facial expressions.