Study for Scene Management Memory Engine of Interactive Game Character
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.