Production of various strategies and position control for Monte-Carlo Go — Entertaining human players

Production of various strategies and position control for Monte-Carlo Go — Entertaining human players
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为蒙特卡洛围棋制作各种策略和位置控制——娱乐人类玩家

DOI:
10.1109/cig.2013.6633625
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发表时间:
2013
期刊:
2013 IEEE Conference on Computational Inteligence in Games (CIG)
影响因子:
--
通讯作者:
Simon Viennot
Simon Viennot
中科院分区:
--
文献类型:
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作者:
Kokolo Ikeda;Simon Viennot

文献摘要

被引文献

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由于树搜索算法、更精确的评估函数和更快的硬件的不断发展,计算机围棋和计算机将棋现在已经达到了足以满足大多数业余棋手的实力水平。然而,关于娱乐和指导棋盘游戏人类玩家的研究仍然非常有限。在本文中,我们首先尝试定义在计算机棋盘游戏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过的不同方法。
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.