Virtual agent perception combination in multi agent based systems

In order to create realistic simulations,virtual agents need to learn about their environment through perception. To date, most multi-agent simulation systems that implement some form of perception have focused heavily on a single sense, vision. In this paper we discuss a multi-sense perception system for virtual agents situated in large scale open environments. The perception system consists of modules (i.e., sensors) for visual, audible and olfactory senses. It also includes a perception combination module that combines data received from the multiple sensors into useful knowledge.