Most users lose their interests when game users interactively play with characters to feel unfriend and unrealistic. In this thesis, we present a scene management memory model for autonomous game characters, which manages the recognized information by visual attention. The scene management memory of autonomous game character is comprised of visual memory. Scene management memory stores the recognized information at the physical structure embodied by Quadgraph structure. Game characters take adaptive actions for the situation by utilizing the stored information in the memory system. To use the capacity of memory effectively, we devise the algorithm of quick visual attention, well suited to game environment. We have implemented our memory system for the experiment to confirm its feasibility and availability. As a result of the experiment, we positively verify that autonomous game character perceives the static and dynamic object of 3D game world by visual attention mechanism with about 2 times improvement of time complexity.

Attempt of various form are made for game. An on-line game is application processes event, which reacts according to condition. Animation of character is expressed according to event. An emotion is decided by message queue's iteration achievement. This treatise does not plan event of game to simple processing system and propose autonomous emotion expression system of FuSM's game character. Interaction increase of game with the actuality the world resembling that to do express, and it can augment sociality. Game space is action space by simple iteration, which convert to space that can express users. This treatise may offer various elements to game take part in users.