摘要
伴随着计算机游戏行业的发展,游戏智能已经经历了几十年的发展。它一般是通过控制游戏中非玩家角色(non-player character,NPC)的行为动作来表现的,其目的在于给玩家更好的游戏体验。游戏智能常见的问题是NPC的行为不够多样化,容易被有经验的玩家预测。为此,通过对Quake2的AI开发工具Fear对NPC的智能结构进行改造,提供新的NPC行为,用以改善玩家的游戏体验。
With the game industry development, Game intelligence has been developed for decades. To make the player get better game experience, it usually expresses the game intelligence by controlling the behaviors and actions of the non-player character (NPC) in the game. Game intelligence suffers from some usual problems, such as NPC behaviors are not diversiform enough and thus is easily forecasted by experienced plays. As a result, we improve the NPC intelligence Architecture by Fear, which is the AI tool of Quake 2, and give new NPC behaviors to improve the game experience of the players.
出处
《电脑开发与应用》
2009年第5期31-32,35,共3页
Computer Development & Applications
基金
国家自然科学基金(60472093)
山西省自然科学基金(2008011040)资助