Building artificial memory to autonomous agents using dynamic and hierarchical finite state machine

This paper presents a model for building agents' memories in virtual environments. This approach allows the generation of agents' memory during the simulation, without user intervention. Moreover the memory can be used to generate behavioural reactive rules. We use dynamic and hierarchical finite state machine (DHFSM) in order to represent the agents past experiences.