基于知识的RGT组合问题求解器

Sedrak V. Grigoryan, Nairi Hakobyan, Tadevos Baghdasaryan
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摘要

在这项工作中,我们提出了RGT(可复制博弈树)求解器的使用方法,包括RGT问题的知识获取、匹配和决策算法。RGT求解器正在进行定期改进,当前的实现试图覆盖以前版本的缺点,改进分类器和心智操作的表示,并在界面上提供增强。我们还讨论了RGT求解器对市场和战场问题的知识获取方式
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge-Based Solvers for RGT Combinatorial Problems
In this work, we present means for usage of RGT (Reproducible Game Trees) Solvers, that include knowledge acquisition, matching and decision making algorithms for RGT problems. The RGT Solvers are being regularly improved and the current implementation tries to cover the drawbacks of previous versions, improves presentation of classifiers and mental doings, as well as provides enhancements in interface. We also discuss ways of knowledge acquisition for marketing and battlefield problems by RGT Solvers
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