AI and computational intelligence for real-time strategy games

Johan Hagelbäck, S. Johansson, M. Preuss
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Abstract

Real-time strategy games (RTS) are an active area of research as well as a popular branch of industrial game production, with high commercial interest. Although player satisfaction is the ultimate goal also for these games, they are usually too complex to come up with human-level AI that is not cheating. In consequence, for RTS games it is as desirable to play well as it is to make the game interesting. Also, RTS games have many aspects that call for CI or other innovative methods, as strategy, tactics, resource management, and many more. The task of the special session is to advance the state of research on RTS by new methods or new applications of methods, new concepts, and also the analysis of existing methods or problems.
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实时策略游戏的人工智能和计算智能
即时战略游戏(RTS)是一个活跃的研究领域,也是工业游戏生产的一个流行分支,具有很高的商业利益。尽管玩家满意度也是这些游戏的最终目标,但它们通常过于复杂,无法设计出不作弊的人类级别AI。因此,对于RTS游戏来说,玩得好和让游戏变得有趣同样重要。此外,RTS游戏有许多方面需要CI或其他创新方法,如战略、战术、资源管理等等。特别会议的任务是通过新方法或新方法的新应用,新概念,以及对现有方法或问题的分析来推进RTS的研究状况。
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