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GLIESE -- A Framework for Experimental Game Development

机译:GLIESE-实验游戏开发框架

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Many computer applications require solving difficult problems (NP or PSPACE), which can be expensive to analyze the space of feasible solutions. In the last 20 years, the theoretical computer science area showed enormous progress in the algorithm design that is not being put in practice. Experimental algorithmic can help to bridge the gap between theory and practice. A domain of applications that involves hard problems is the development of computer games, in particular, games in which the user's opponent is the computer. Heuristic search technique in games has been highly successful, however, there are no tools to assist in testing and improving implementations based on it. In this paper, we describe a framework called GLIESE that focuses on the reuse of software components for experimental game development. Its main goal is to provide software support to simplify the most complex issues in the implementation of video games enabling to experiment with games in which parts of its logic can be expressed by using different heuristic searches. The simulation and assess of the quality of approximate solution based on different heuristic search techniques is the original aspect that impacts on the game implementation. GLIESE was used in undergraduate courses of "Analysis and Design of Algorithms" in the development of variety of popular games.
机译:许多计算机应用程序都需要解决棘手的问题(NP或PSPACE),这对于分析可行解决方案的空间可能是昂贵的。在过去的20年中,理论上的计算机科学领域在算法设计方面显示出巨大的进展,而该算法设计尚未付诸实践。实验算法可以帮助弥合理论与实践之间的鸿沟。涉及难题的应用领域是计算机游戏的开发,特别是用户的对手是计算机的游戏。游戏中的启发式搜索技术非常成功,但是,没有工具可以帮助测试和改进基于它的实现。在本文中,我们描述了一个名为GLIESE的框架,该框架专注于软件组件在实验性游戏开发中的重用。其主要目标是提供软件支持,以简化视频游戏实施中最复杂的问题,从而能够尝试通过使用不同的启发式搜索来表达其部分逻辑的游戏。基于不同启发式搜索技术的近似解决方案质量的仿真和评估是影响游戏实现的原始方面。 GLIESE被用于开发各种流行游戏的“算法分析与设计”本科课程。

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