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GLIESE -- A Framework for Experimental Game Development

机译:GLIESE - 实验游戏开发的框架

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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:许多计算机应用需要解决难题(NP或PSPace),这可能是昂贵的,以分析可行解决方案的空间。在过去的20年中,理论计算机科学领域在算法设计中表现出巨大的进展,这些设计没有练习。实验算法可以有助于弥合理论与实践之间的差距。涉及难题的应用程序领域是计算机游戏的开发,特别是用户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,专注于重复使用实验游戏开发的软件组件。其主要目标是提供软件支持,以简化实现视频游戏的最复杂的问题,使能够通过使用不同的启发式搜索来表达其逻辑的部分的游戏。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。辉煌被用于本科课程的“分析与设计算法”中的各种流行游戏的发展。

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