반응형 게임캐릭터의 장면관리 메모리 엔진연구

• 영문명: A Study for Scene Management Memory Engine of Interactive Game Character
• 발행기관: 한국컴퓨터게임학회
• 저자명: 차명희(Myung Hee Cha)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제26권 3호, 79~86쪽, 전체 8쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.09.30

영문 초록

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 2times improvement of time complexity.

목차

1. 서론

2. 관련연구

3. GAVA(Game Autonomous Virtual Agent) 설계

4. 장면관리 메모리 시스템

5. 실험

6. 결론 및 향후연구

참고문헌

키워드

Autonomous game character Artificial intelligence Memory Structure Attention 3D game