http://debianws.lexgopc.com/wiki143/index.php?action=history&feed=atom&title=Computer_Go 2026-10-25T22:47:51Z Revision history for this page on the wiki MediaWiki 1.43.1 http://debianws.lexgopc.com/wiki143/index.php?title=Computer_Go&diff=4576009&oldid=prev 2025-12-30T18:43:04Z

<p>remoc=ved double spaces</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Previous revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:43, 30 December 2025</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{GoBoardGame}}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{GoBoardGame}}</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{Use mdy dates|date=October 2025}}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>{{Use mdy dates|date=October 2025}}</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''Computer Go''' is the field of [[artificial intelligence]] (AI) dedicated to creating a computer program that plays the traditional [[board game]] [[Go (board game)|Go]].  The field is sharply divided into two eras. <del style="font-weight: bold; text-decoration: none;"> </del>Before 2015, <del style="font-weight: bold; text-decoration: none;">the </del>programs <del style="font-weight: bold; text-decoration: none;">of the era </del>were weak. <del style="font-weight: bold; text-decoration: none;"> </del>The best efforts of the 1980s and 1990s produced only AIs that could be defeated by beginners, and AIs of the early 2000s were intermediate level at best. <del style="font-weight: bold; text-decoration: none;"> </del>Professionals could defeat these programs even given handicaps of 10+ stones in favor of the AI. <del style="font-weight: bold; text-decoration: none;"> </del>Many of the algorithms such as [[Alpha–beta pruning|alpha-beta minimax]] that performed well as AIs for [[checkers]] and [[chess]] fell apart on Go's 19x19 board, as there were too many branching possibilities to consider. <del style="font-weight: bold; text-decoration: none;"> </del>Creation of a human professional quality program with the techniques and hardware of the time was out of reach. <del style="font-weight: bold; text-decoration: none;"> </del>Some AI researchers speculated that the problem was unsolvable without creation of [[artificial general intelligence|human-like AI]].</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''Computer Go''' is the field of [[artificial intelligence]] (AI) dedicated to creating a computer program that plays the traditional [[board game]] [[Go (board game)|Go]].  The field is sharply divided into two eras. Before 2015, programs were weak. The best efforts of the 1980s and 1990s produced only AIs that could be defeated by beginners, and AIs of the early 2000s were intermediate level at best. Professionals could defeat these programs even given handicaps of 10+ stones in favor of the AI. Many of the algorithms such as [[Alpha–beta pruning|alpha-beta minimax]] that performed well as AIs for [[checkers]] and [[chess]] fell apart on Go's 19x19 board, as there were too many branching possibilities to consider. Creation of a human professional quality program with the techniques and hardware of the time was out of reach. Some AI researchers speculated that the problem was unsolvable without creation of [[artificial general intelligence|human-like AI]].</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The application of [[Monte Carlo tree search]] to Go algorithms provided a notable improvement in the late 2000s, with programs finally able to achieve a [[Go ranks and ratings|low-dan level]]: that of an advanced amateur.  High-dan amateurs and professionals could still exploit these programs&#039; weaknesses and win consistently, but computer performance had advanced past the intermediate (single-digit &#039;&#039;kyu&#039;&#039;) level.  The tantalizing unmet goal of defeating the best human players without a handicap, long thought unreachable, brought a burst of renewed interest.  The key insight proved to be an application of [[machine learning]] and [[deep learning]].  [[DeepMind]], a Google acquisition dedicated to AI research, produced [[AlphaGo]] in 2015 and announced it to the world in 2016.  [[AlphaGo versus Lee Sedol|AlphaGo defeated Lee Sedol]], a 9 dan professional, in a no-handicap match in 2016, then [[AlphaGo versus Ke Jie|defeated Ke Jie in 2017]], who at the time continuously held the world No. 1 ranking for two years.  Just as [[English_draughts#Computer_players|checkers had fallen to machines in 1995]] and [[Deep Blue versus Garry Kasparov|chess in 1997]], computer programs finally conquered humanity&#039;s greatest Go champions in 2016&amp;ndash;2017.  DeepMind did not release AlphaGo for public use, but various programs have been built since based on the journal articles DeepMind released describing AlphaGo and its variants.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The application of [[Monte Carlo tree search]] to Go algorithms provided a notable improvement in the late 2000s, with programs finally able to achieve a [[Go ranks and ratings|low-dan level]]: that of an advanced amateur.  High-dan amateurs and professionals could still exploit these programs&#039; weaknesses and win consistently, but computer performance had advanced past the intermediate (single-digit &#039;&#039;kyu&#039;&#039;) level.  The tantalizing unmet goal of defeating the best human players without a handicap, long thought unreachable, brought a burst of renewed interest.  The key insight proved to be an application of [[machine learning]] and [[deep learning]].  [[DeepMind]], a Google acquisition dedicated to AI research, produced [[AlphaGo]] in 2015 and announced it to the world in 2016.  [[AlphaGo versus Lee Sedol|AlphaGo defeated Lee Sedol]], a 9 dan professional, in a no-handicap match in 2016, then [[AlphaGo versus Ke Jie|defeated Ke Jie in 2017]], who at the time continuously held the world No. 1 ranking for two years.  Just as [[English_draughts#Computer_players|checkers had fallen to machines in 1995]] and [[Deep Blue versus Garry Kasparov|chess in 1997]], computer programs finally conquered humanity&#039;s greatest Go champions in 2016&amp;ndash;2017.  DeepMind did not release AlphaGo for public use, but various programs have been built since based on the journal articles DeepMind released describing AlphaGo and its variants.</div></td></tr> </table>

imported>Smeagol 17 http://debianws.lexgopc.com/wiki143/index.php?title=Computer_Go&diff=3455483&oldid=prev 2025-10-05T04:00:00Z

<p><a href="/wiki143/index.php?title=User:Ohconfucius/script&amp;action=edit&amp;redlink=1" class="new" title="User:Ohconfucius/script (page does not exist)">Script</a>-assisted <a href="/wiki143/index.php?title=WP:MOS&amp;action=edit&amp;redlink=1" class="new" title="WP:MOS (page does not exist)">style</a> fixes, <a href="https://en.wikipedia.org/wiki/MOSNUMscript" class="extiw" title="wikipedia:MOSNUMscript">script</a>-assisted date audit and style fixes per <a href="/wiki143/index.php?title=MOS:NUM" class="mw-redirect" title="MOS:NUM">MOS:NUM</a></p> <a href="http://debianws.lexgopc.com/wiki143/index.php?title=Computer_Go&amp;diff=3455483&amp;oldid=156221">Show changes</a>

imported>Tony1 http://debianws.lexgopc.com/wiki143/index.php?title=Computer_Go&diff=156221&oldid=prev 2025-05-05T03:38:31Z

<p>Reformat 2 archive links. <a href="/wiki143/index.php?title=User:GreenC/WaybackMedic_2.5&amp;action=edit&amp;redlink=1" class="new" title="User:GreenC/WaybackMedic 2.5 (page does not exist)">Wayback Medic 2.5</a> per <a href="/wiki143/index.php?title=WP:USURPURL&amp;action=edit&amp;redlink=1" class="new" title="WP:USURPURL (page does not exist)">WP:USURPURL</a> and <a href="/wiki143/index.php?title=WP:JUDI&amp;action=edit&amp;redlink=1" class="new" title="WP:JUDI (page does not exist)">JUDI batch #27ak</a></p> <a href="http://debianws.lexgopc.com/wiki143/index.php?title=Computer_Go&amp;diff=156221">Show changes</a>

imported>GreenC bot