制作各种策略和位置控制的蒙特卡洛围棋娱乐人类玩家

Kokolo Ikeda, Simon Viennot
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引用次数: 15

摘要

由于树搜索算法、更精确的评估功能和更快的硬件的不断发展,计算机围棋和计算机棋棋现在已经达到了大多数业余棋手都能应付的水平。然而,关于娱乐和指导人类棋类游戏玩家的研究仍然非常有限。在本文中,我们首先尝试定义在电脑桌游中娱乐人类玩家的要求是什么。然后,我们描述了我们在蒙特卡洛计算机围棋的情况下实验的不同方法。
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Production of various strategies and position control for Monte-Carlo Go — Entertaining human players
Thanks to the continued development of tree search algorithms, of more precise evaluation functions, and of faster hardware, computer Go and computer Shogi have now reached a level of strength sufficient for most amateur players. However, the research about entertaining and coaching human players of board games is still very limited. In this paper, we try first to define what are the requirements for entertaining human players in computer board games. Then, we describe the different approaches that we have experimented in the case of Monte-Carlo computer Go.
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