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...with report on [https://en.wikipedia.org/wiki/Computer_Go_UEC_Cup Computer Go UEC Cup], March 2017 @ 9:00</ref>. ...zey met his professional colleagues, he decided to close the source and to go commercial - short after Fruit derivate appeared, based on the source code

******* [https://www.mathematik.rwth-aachen.de/go/id/bkbg/gguid/0x11CEE8D9CE85D51196710000F4B4937D/ikz/11/allou/1 Martin Scha ...amp|Elwyn Berlekamp]]</span> » <span style="background-color: #ffdab9;">[[Go]]</span>

...shok Kumar], [http://software.intel.com/en-us Intel® Developer Zone] » [[GNU Chess]] ...el Monte-Carlo Tree Search for HPC Systems and its Application to Computer Go''. Ph.D. thesis, [[Paderborn University]], advisors [[Marco Platzner]], [[U

...e simulations; application to the building of opening books in the game of Go''. [http://www.lri.fr/~rimmel/publi/ouvertures.pdf pdf] ...9f679b gnuchess.book in Lisp] by [[Steven Edwards]], [[GNU Chess#NewsGroup|gnu.chess]], January 23, 1990

...</ref>. The generator is released under the [[Free Software Foundation#GPL|GNU General Public License Version 2]], the [[Thread|thread safe]] probing code I create both WDL and DTZ in one go, so I don't use WDL in the creation of DTZ. The algorithm used is the [[Ret

...latest official MIT Cilk released under the [[Free Software Foundation#GPL|GNU General Public License]] <ref>[http://supertech.csail.mit.edu/cilk/cilk-5.4 Don't go fiddle with difficult parallellization, simply use CILK, let that language

...uki Kaneko]], ''RankNet for evaluation functions of the game of Go''. » [[Go]] ...[[Jr-Chang Chen]], [[Shi-Jim Yen]], [[Chan-San Chen]], ''Design of a Block Go program using deep learning and Monte Carlo tree search''. » [[Deep Learni

...://www.gnu.org/software/gsl/manual/html_node/Random-Number-Generation.html GNU Scientific Library – Reference Manual: Random Number Generation] * [https://gcc.gnu.org/onlinedocs/gfortran/RAND.html The GNU Fortran Compiler: RAND]

...of [[Go]] to [[Deep Learning|learn]] and predict the moves made by expert Go players. =DCNNs in Go=

* [[Assembly#x86|GNU Assembler]] ...Intel Xeon Phi''. [http://arxiv.org/abs/1409.4297 CoRR abs/1409.4297] » [[Go]]

...[[Neural Networks#Residual|residual]] modification successful applied in [[Go]] and other [[Games|games]], most spectacular due to [[AlphaGo]] in 2015 an ...ttp://ieeexplore.ieee.org/document/7875402/ Residual Networks for Computer Go]''. [[IEEE#TOCIAIGAMES|IEEE Transactions on Computational Intelligence and

| [[GNU Backgammon]] ==[[Go]]<span id="Go"></span>==

| [[GNU Backgammon]] ==[[Go]]<span id="Go"></span>==

==[[Go]]<span id="Go"></span>== '''[[8th Computer Olympiad#Go|< Prev]] [[10th Computer Olympiad#Go|Next >]]'''

| [[GNU Backgammon]] ==[[Go]]<span id="Go"></span>==

...g]], [[Shang-Rong Tsai]], [[Shun-Chin Hsu]] ('''2008'''). ''Human-Computer Go Revolution 2008''. [[ICGA Journal#31_3|ICGA Journal, Vol. 31, No. 3]]</ref> | [[GNU Backgammon]]

==[[Go]]<span id="Go"></span>== '''[[14th Computer Olympiad#Go|< Prev]] [[16th Computer Olympiad#Go|Next >]]'''

| [https://www.game-ai-forum.org/icga-tournaments/program.php?id=62 GNU Backgammon] ==[[Go]]<span id="Go"></span>==

| [https://www.game-ai-forum.org/icga-tournaments/program.php?id=62 GNU Backgammon] ==[[Go]]<span id="Go"></span>==

| [https://www.game-ai-forum.org/icga-tournaments/program.php?id=62 GNU Backgammon] ==[[Go]]<span id="Go"></span>==

'''[[Main Page|Home]] * [[Games]] * Go''' [[FILE:Go board.jpg|border|right|thumb| 19*19 Go board <ref>[https://en.wikipedia.org/wiki/The_Age_of_Intelligent_Machines T

...phaZero]] implementation dubbed [[CrazyZero]] has networks trained to play Go, [[Shogi]], [[Gomoku]], [[Othello]], [[Renju]], and Chess <ref>[http://www. [[11th Computer Olympiad#Go9x9|11th Computer Olympiad, Go 9x9]], [[Keh-Hsun Chen|Ken Chen]], [[Rémi Coulom]], [[Hiroshi Yamashita]]

...eep learning techniques have yielded in another breakthrough in computer [[Go]] (after [[Monte-Carlo Tree Search]]), some trials in computer chess were p =Go=

...nuchess), which re-utilize large parts of code from [[GNU Chess]], and the Go program [http://www.grappa.univ-lille3.fr/icga/program.php?id=143 Oleg]. * [[Bruno Bouzy]], [[Bernard Helmstetter]] ('''2003'''). ''Monte Carlo Go Developments''. [[Advances in Computer Games 10]], [http://www.ai.univ-pari

...chess engine]] by [[Matthew Lai]] under the [[Free Software Foundation#GPL|GNU General Public License]], compliant to the [[Chess Engine Communication Pro ...w.research-collection.ethz.ch/handle/20.500.11850/156354 Deep Learning for Go]''. B.Sc. thesis, [[ETH Zurich]]

=DCNNs in Go= ...g|Aja Huang]], [http://computer-go.org/pipermail/computer-go/ The Computer-go Archives], December 19, 2014</ref>.

=Go and Chess= ...under the [https://en.wikipedia.org/wiki/GNU_Lesser_General_Public_License GNU Lesser General Public License 3] <ref>[https://github.com/mark-watson/Java-

.../icga-tournaments/program.php?id=144 Explorer]. Keh-Hsun Chen was Computer Go Section Editor of the [[ICGA Journal]] until 2012. * [[Keh-Hsun Chen|Ken Chen]] ('''1989'''). ''Group Identification in Computer Go''. [[1st Computer Olympiad#Workshop|Heuristic Programming in Artificial Int

...s|GNU Chess 6]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=37789 GNU Chess 6 (= Fruit)] by [[Harm Geert Muller]], [[CCC]], January 25, 2011</ref ...ards]], and naturally, Fruit has become a new [[Evaluation|evaluation]] to go along with that <ref>[http://www.talkchess.com/forum/viewtopic.php?topic_vi

...[http://nn.cs.utexas.edu/?richards:apin98 Evolving Neural Networks to Play Go]''. [https://www.springer.com/journal/10489 Applied Intelligence], Vol. 8, ...tic Algorithms]''. [[ICGA Journal#26_1|ICGA Journal, Vol. 26, No. 1]] » [[Go]]

* [http://www.talkchess.com/forum/viewtopic.php?t=63119 How to go about chasing a bug like this?] by [[Colin Jenkins]], [[CCC]], February 09, * [http://www.gnu.org/software/gdb/ GDB: The GNU Project Debugger]

...software specialized tools] like [https://en.wikipedia.org/wiki/GNU_Octave GNU Octave], [https://en.wikipedia.org/wiki/MATLAB MATLAB], [https://en.wikiped Where to go from here? For a more accurate estimate of the position a new model of ches

{*** go through all of the possible moves ***} * <span id="GNUPascal"></span>[https://en.wikipedia.org/wiki/GNU_Pascal GNU Pascal from Wikipedia]

* [[Go (Programming Language)]] ...1996'''). ''[http://dl.acm.org/citation.cfm?id=238417 Attitudes toward the go-to statement (or, hydrogen considered harmful)]''. [http://www.journals.els

...tware open source] chess database under the [[Free Software Foundation#GPL|GNU Lesser General Public License]], to view, edit, and manage collections of c * [[Scid on the Go]]

Gunnar Farnebäck is co-author of the [[Go]] playing program [[GNU Go]] <ref>[https://www.gnu.org/software/gnugo/ GNU Go - GNU Project - Free Software Foundation (FSF)]</ref>

=DCNNs in Go= ...ly improve performance. Their final networks can consistently defeat [[Gnu Go]] , indicating it is state of the art among programs that do not use [[Mont

...proach of [[Christopher Clark]] and [[Amos Storkey]] to predict moves in [[Go]] without any [[Search|search]], ...rkey]] ('''2014'''). ''Teaching Deep Convolutional Neural Networks to Play Go''. [http://arxiv.org/abs/1412.3409 arXiv:1412.3409]</ref>,