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中文名: 五子棋绝招
作者: 章照原
资源格式: PDF
版本: 扫描版
出版社: 上海文化出版社
发行时间: 1999年
地区: 大陆
语言: 简体中文
绝招 &简介:&
五子棋绝招 &内容介绍:
《五子棋绝招》本书为&玩家丛书&中的一种，五子棋在我国流传很广，但是棋艺水平普遍不高，由于五子棋的变化非常复杂，因而可以锻炼思维，提高分析能力和判断能力，对发展智力有很大帮助。
《五子棋绝招》本书在一九九0年出版的《五子棋制胜妙谱》的基础上，《五子棋绝招》进行修订重版，《五子棋绝招》并增加了这一章，《五子棋绝招》读者可以根据自己的成绩来测定自己的棋力。
五子棋绝招 &内容截图:&
五子棋绝招 &目录:&
怎样下五子棋
五子棋的下法
先手和取胜
对黑棋的限制
常见的取胜方法
用连续追击的方法获胜
同时有两个胜点或胜着的获胜法
对黑棋限制的利用
白棋利用对黑棋限制来取胜
白棋利用对黑棋限制来解围
黑棋利用限制来解围
先手必胜法
问题与解答之一
问题与解答之二
试试你的棋力解答
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版权所有 Gzip enabledUCT算法及其变种，算是强化学习
本回答谢绝转载问题太笼统，你需要简单介绍一下你的背景（对机器学习掌握到了什么程度，对计算机博弈掌握到什么程度），你希望最终实现的五子棋棋力达到什么水平，以及你所指的机器学习的在你的五子棋中起多大的作用（比如框架还是alpha-beta framework，只不过把个别参数用个简单的机器学习思想调一下；还是要抛开传统的搜索框架）。因为信息不全，所以下面的回答只能在一些假设下给一个大致的答案：假设你对结果的要求不求达到棋力很高，只求达到一个一般的水平，比如一些flash小游戏中的五子棋智能，欢乐五子棋，或者fiver6的最低等级（猪八戒）；假设你要求只是用了机器学习的话，那么不难。只需要了解并实现一下极大极小搜索（一搜一大把），并写一个简单的基于棋形分加权和的审局函数（一搜一大把），最后用随机调整的方式（比如）训练一下棋形分的权值就行了。====1.26补充====然后想起来以前上课的时候他说过现在棋类博弈就是开始水平很菜很人下了之后，水平很厉害，我却完全不知道怎么实现的你这里提到的通过人机对弈提高水平这一类学习，对棋类的提升是有限的，在我的知识范围内并未了解到很成功的案例，应该是你记错了或者你的授课老师讲错了。借助机机对弈提升棋力的案例是比较多的，最早可以追溯到上世纪50年代Samuel的国际跳棋（） ，以及此后90年代成功借助强化学习方法TD-lambda实现的TD-Gammon首次打败西洋双陆棋最强的人类选手（），前文中我提到的随机调整的算法（），是目前全球最强的国际象棋引擎Stockfish（）所采用的学习策略，虽然简单，但它帮助Stockfish提高了40-70 ELO等级分。值得注意的是，MCTS（Monte-Carlo Tree Search，
提到的UCT是MCTS的一种）也是一类可以很好地用于棋类对弈的强化学习方法，不过它同前面所举例的机机对弈的学习是有一定的区别的，纯粹的MCTS所学到的知识只能用于一次对局，而前面举的三个例子所学的知识则可以积累并用于未来的对局，所以MCTS恐怕并不满足你期望的借助对弈不断改进提升棋力的目标。另外还有借助高水平人人对弈的对局记录来学习的方式，早期在象棋、围棋等上都有若干探索，如NeuroChess（），不过到目前为止，这一学习方式只在围棋上获得了比较好的结果，采用的是深度卷积神经网络（最新结果：）。有一本书叫《Reinforcement Learning: State-of-the-Art》，其中第17章给出了强化学习在各类游戏上应用的综述。我是一个大四学生，刚刚考完研究生，之前看了吴恩大机器学习course RA上的，也拿到了相关证书，做了一些基础的东西，这个是我的毕设，我打算做的智能一点如果你更看重棋力的话，建议对于五子棋还是采用传统的Alpha-beta framework, proof-number search, dependency-based search，并借助类似Stockfish的参数调整策略尝试学习一些知识。这类传统技术的相关资源我已在此前回答上提到过（），这些技术可以帮助你取得目前最好的结果（）。如果你更看重创新性，你可以尝试应用深度卷积神经网络，目前尚无这方面的成果的公开发表。具体实现上，可以先直接用前文提到的围棋文献中的那套方法。效果不一定好，但会比较炫酷。蜗牛连珠（Slowrenju）作者
建立了一个用于交流五子棋AI的QQ群，群号是。题主若有进一步的问题，可以与群内的朋友交流。
首先先确认一下，你是否了解不带开局交换规则的五子棋/连珠是已经solved了。(参考：)针对五子棋如何做AI，顶级五子棋AI引擎弈心的作者孙凯曾经总结了一份非常详细的资料列表，应该说是如果想做五子棋AI一定要参考的。来自I often recieve emails that ask for gomoku/renju resources, especially for AI design, so I write this article to summerize good resources I know. This page will be maintained and updated in the future. If you find any mistake in this page such as broken links, please contact me.Reading Materials for AI Design by Louis Victor Allis. (Recommend) is a website which provides good reference for every aspect of chess programming. Although it mainly talks about chess, some basic techniques and ideas of chess AI design are similiar to those of gomoku/renju. by Janos Wagner, Istvan Virag. by Louis Victor Allis, Hendrik Jacob Herik, and M.P.H. Huntjens. by Louis Victor Allis, Hendrik Jacob Herik, and M.P.H. Huntjens. by Louis Victor Allis, Maarten van der Meulen, and H. Jaap Van Den Herik.(In Chinese)
is a website which provides basic articles on chess programming.(In Chinese)
by Chengtao Chen.(In Chinese)
by Kai Sun.Competitive Open-source AIs by Petr Lastovicka, Czech Republic. (Recommend)Niren (XL) (, or
which supports Gomocup protocol) by Chengtao Chen, China. by Feng Liu, China. by Aean, China. by Cong Zhang, China.Open-source GUIs by Petr Lastovicka, Czech Republic. It is a GUI that supports Gomocup protocol. (Recommend) by Frank Arkbo, Sweden. Renlib is one of the best programs which can help you to build a library of renju openings, analysis and played games. (Recommend) by Kai Sun, China. It is a specially designed GUI for Yixin, supporting Yixin protocol. (Recommend)Protocols for Computer Gomoku/RenjuGomocup Protocol ( or ) by Petr Lastovicka, Czech Republic. The protocol is used in , and tens of AIs support it. by Kai Sun, China. The protocol is derived from Gomocup protocol. Compared with Gomocup protocol, Yixin protocol introduces more commands enabling
to have some new features such as renju rule support.(In Chinese)
by AI LAB, Peking University.
is an online platform for AI competitions. It used to support many games including gomoku. However, since it was updated in 2014, it seems that the platform have lost all its old data so that gomoku as well as many other games is no longer supported.AI Competition and Online Platform (2000 - Now) (Recommend) (2012 - Now) (1989 - 1992)Renju Computer World Championship (, , , 2004(,))Hungarian Computer Go-Moku Open Tournament (2005 (, )) (2010 - 2013)AI vs. Human tournament (, 2011(,))Famous, Competitive, and Interesting AI ListAmoeba by Galli Zoltan, Hungary. It uses Monte-Carlo tree search (MCTS) rather than commonly used algorithms such as alpha-beta search. It can be downloaded at .Blackstone by Victor Barykin, Russia. It is a commercial software for renju. It is the winner in tournament of the 2nd and the 3rd Renju Computer World Championship (), and the winner in solving problems of the 2nd Renju Computer World Championship (1998).Fiver by Meng Liu, China. A famous classic gomoku engine. It can be downloaded at .Goro by Victor Barykin, Russia. It is a commercial software for gomoku, the winner of the 6th, the 7th, the 10th, and the 11th Gomocup (, ). It took part in both the first and the second AI vs. Human tournament, playing against one of the best Czech gomoku players in 2006 and 2011. Goro was ranked the 7th in the 15th Gomocup (2014). It can be downloaded at .Hector for Gomoku by Csaba Jergler, Hungary. It is a general game playing search core module (Hector) along with a compile time connected game specific gomoku module. It took part in Gomocup from 2008 to 2010 and was ranked the 9th in the 11th Gomocup (2010). It has been excluded from Gomocup since 2011 because the old version of Hector stopped working and the author did not send the new version to Gomocup. It is not published, so there is no download available.Hewer by Tomas Kubes, Czech Republic. Hewer was ranked the 3rd in the 15th Gomocup (2014). It can be downloaded at .Hgarden by Bingqing Han, China. It took part in the first AI vs. Human tournament, playing against one of the best Czech gomoku players in 2006. Hgarden was ranked the 6th in the 15th Gomocup (2014). It can be downloaded at .Meijin by Oleg Stepanov, Russia. It played against human players in , 2000, making it become the first program playing with human players in public competitions.Pacifist by Shuai Han, China. Winner of gomoku AI competition on
hosted by AI LAB, Peking University in Decemeber 2010. It is not published, so there is no download available.Pela by Petr Lastovicka, Czech Republic. It is the strongest open-source gomoku engine. Pela was ranked the 8th in the 15th Gomocup (2014). It can be downloaded at .Pisq by Martin Petricek, Czech Republic. It is the winner of the 1st and the 2nd Gomocup (). It can be downloaded at .Onix by Janos Wagner and Istvan Virag, Hungary. It is the winner of , 2005. It took part in Gomocup from 2007 to 2011 and was ranked the 5th in the 12th Gomocup (2011). It has been excluded from Gomocup since 2012 due to its instability -- It was reported crashing randomly very often in the 13th Gomocup. Onix can be downloaded at .Renjusolver by Xiangdong Wen. It is a commercial software for both gomoku and renju. It is the winner in solving problems of the 4th Renju Computer World Championship, 2004. It took part in the second AI vs. Human tournament, playing against one of the best Czech gomoku players in 2011. Renjusolver was ranked the 2nd in the 15th Gomocup (2014). It can be downloaded at . by Tongxiang Zhang, China. It is the winner in solving problems of the 3rd Renju Computer World Championship (2000).Swine by Jirka Fontan, Czech Republic. It is the winner of the 4th and the 5th Gomocup (). It took part in the second AI vs. Human tournament, playing against one of the best Czech gomoku players in 2011. Swine was ranked the 5th in the 15th Gomocup (2014). It can be downloaded at .Tito by Andrej Tokarjev, Hungary. It is the winner of the 8th, the 9th, and the 12th Gomocup (, 2011). It took part in both the first and the second AI vs. Human tournament, playing against one of the best Czech gomoku players in 2006 and 2011. Tito was ranked the 4th in the 15th Gomocup (2014). It can be downloaded at .Trunkat by Jiri Trunkat. It is the winner of the 3rd Gomocup (2002). Trunkat can be downloaded at . by Gabor Takacs, Hungary. It is winner of , 2005. It is not published, so there is no download available.Vertex by Artyom Shaposhnikov and Alexander Nosovsky, Russia. It is the winner of the 1st Renju Computer World Championship, 1991. There is no download available.Victoria by V. Allis and L Schoenmaker, Netherlands. It is the first program which is bound to win if it moves first for both freestyle and standard gomoku without modern opening rules. It is the winner of gomoku in the 4th Computer Olympiad. Victoria is not published, so there is no download available. Refer to for more information. by Kai Sun, China. It is a free software for both gomoku and renju. It is the winner of the 13th, 14th, and the 15th Gomocup (, 2014).Other Useful SoftwareRenArtist by Yusuke Okuno, Japan. It gives a good solution about making databases and publish them directly on the web. by Shanshan Liu, China. It is a free software which is bound to win if it moves first for freestyle gomoku without modern opening rules.Rules and VariationsPrepared Balanced Opening is the most popular opening rule in computer gomoku. It is used by both Hungarian Computer Go-Moku Open Tournament and Gomocup.(3 prepared balanced openings used in the 15th Gomocup (provided by Alexander Bogatirev, manager of Team Russia online, member of Gomoku Committee RIF, 2014)) is an opening rule for gomoku. The rule is as follows: (1) The first player puts 2 black and 1 white stones a (2) The second player has 3 options: a. b. c. put 2 more stones and let the opponent choose the colour. is an opening rule for renju adopted by Renju International Federation in 1996. is an opening rule for renju developed by Japanese player Yusui Yamaguchi.Swap after 1st move is an opening rule for gomoku. The rule is as follows. (1) The first player puts 1 black stone a (2) The second player has 2 options: a. b. swap. is a strategy board game for two or more players similar to gomoku/renju. is a two-player strategy game similar to gomoku/renju.Other Useful Links(In Czech) (In Polish)
()(In Chinese)
(](In Estonian)五子棋大赛策划书_百度文库
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你可能喜欢给我推荐一本五子棋的书吧！我知道并理解五子棋的规则，但是下不太好，请问哪本书更适合我呢？_百度知道
给我推荐一本五子棋的书吧！我知道并理解五子棋的规则，但是下不太好，请问哪本书更适合我呢？
提问者采纳
最开始用&五子棋一点通&,这书很浅显易懂……一开始不要盲目地记定式,不理解其中的奥秘是很痛苦的机械记忆…然后去各种棋牌游戏大厅的五子棋有禁手(五手二打,三手交换)区积累实战经验.找不到对手时可以去买&三手胜五子棋题解&.等你有一定经验后再深入研究定式也不迟
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其他3条回答
我觉得一开始就看书感觉没什么用，我看了些书，越玩越糊涂。还是先把算力提高些（最少要能算到十几步吧），多积累些经验，再学技巧+记谱这些我想应该更合适一些。五子棋的书到一些网上书店搜搜就出来了。我看过的《五子棋争先妙手(五子棋晋级书系) 》、《五子棋中级指南》、《五子棋长星指路》、《五子棋行棋技巧》。要持之以横才行，几个月不下，棋艺就会下降很多了。我就是。
五子棋占优技巧
如果你是新手的话，多是在无禁手下棋，而五子棋的书多是讨论有禁手的下法。
因此，要提高棋力只能靠多下和做一些五子棋的习题训练，以锻炼算棋和观察的能力！
新手多是棋力（进攻力）不足，应当多练习浦月和花月，以提高自己的棋力。
《五子棋绝招》里面有对花月和浦月的讲解，另外还有一些习题测试！
另外，五子棋并非完全靠算棋，有时根据规则下棋，就可以达到事办功倍的效果！因此，要看看《那氏五子棋口诀》。
如果你不是一个新手，再有禁手里下棋感觉无力招架。。可能是是五子棋定式了解的少，或者是对局策略上的不足！对于定式了解的少，没什么好的办法，多看定式，不但要记下，而且要对每一步的意图有所理解。
很多平衡的棋形难以判断好坏局势，因此无需追求正确的下法，可以示弱以麻痹对手，也可...
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