http://www.pikafish.com/wiki/index.php?action=history&feed=atom&title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F 2026-04-29T04:44:10Z 本wiki上该页面的版本历史 MediaWiki 1.40.0 http://www.pikafish.com/wiki/index.php?title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F&diff=481&oldid=prev 2025-01-05T23:48:28Z

<p></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="zh-Hans-CN"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2025年1月6日 (一) 07:48的版本</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">第4行：</td> <td colspan="2" class="diff-lineno">第4行：</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>&lt;br&gt;不是。</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>&lt;br&gt;不是。</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" 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><del style="font-weight: bold; text-decoration: none;">搜索速度快，不代表用的是“穷举法”，就好像一个人计算速度越高于你，他也不会是一个个掰手指算的。</del></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><ins style="font-weight: bold; text-decoration: none;">搜索速度快，不代表用的是“穷举法”，就好像一个人计算速度远快于其他人，他也不会是一个个掰手指算的(而且掰出火星子也算不过来)。</ins></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;"><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> <!-- diff cache key pikafish_wiki-pkf:diff::1.12:old-468:rev-481 --> </table>

Afkbad http://www.pikafish.com/wiki/index.php?title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F&diff=468&oldid=prev 2025-01-01T02:19:08Z

<p></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="zh-Hans-CN"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2025年1月1日 (三) 10:19的版本</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l10">第10行：</td> <td colspan="2" class="diff-lineno">第10行：</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;"><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" 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><del style="font-weight: bold; text-decoration: none;">而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。</del></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><ins style="font-weight: bold; text-decoration: none;">而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合复杂架构的神经网络。搜索的速度和CPU引擎比起来慢得极多，更不可能是“穷举”。</ins></div></td></tr> <!-- diff cache key pikafish_wiki-pkf:diff::1.12:old-259:rev-468 --> </table>

Afkbad http://www.pikafish.com/wiki/index.php?title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F&diff=259&oldid=prev 2024-03-31T15:02:47Z

<p></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="zh-Hans-CN"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月31日 (日) 23:02的版本</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">第1行：</td> <td colspan="2" class="diff-lineno">第1行：</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>不是。</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> </div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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><ins style="font-weight: bold; text-decoration: none;">&lt;small&gt;[[棋软知识|返回“棋软知识”]]&lt;/small&gt;</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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><ins style="font-weight: bold; text-decoration: none;">&lt;br&gt;</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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><ins style="font-weight: bold; text-decoration: none;">&lt;br&gt;</ins>不是。</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>搜索速度快，不代表用的是“穷举法”，就好像一个人计算速度越高于你，他也不会是一个个掰手指算的。</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>搜索速度快，不代表用的是“穷举法”，就好像一个人计算速度越高于你，他也不会是一个个掰手指算的。</div></td></tr> <!-- diff cache key pikafish_wiki-pkf:diff::1.12:old-175:rev-259 --> </table>

Afkbad http://www.pikafish.com/wiki/index.php?title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F&diff=175&oldid=prev 2024-03-11T20:42:20Z

<p></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="zh-Hans-CN"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月12日 (二) 04:42的版本</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">第4行：</td> <td colspan="2" class="diff-lineno">第4行：</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;"><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" 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><del style="font-weight: bold; text-decoration: none;">主流的CPU引擎均使用ab剪枝搜索，搜索过程中会进行巨量的剪枝。强大的引擎其分支因子不到2，也就是说，搜索到一个局面，从这个局面再往下搜索一次的话，平均搜不到2个着法。</del></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><ins style="font-weight: bold; text-decoration: none;">主流的CPU引擎均使用ab剪枝搜索，搜索过程中会进行巨量的剪枝。强大的引擎其分支因子不到2，也就是说，搜索到一个局面，从这个局面再往下搜索一次的话，平均搜不到2个着法，剪掉其余几十种着法。</ins></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;"><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>而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。</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>而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。</div></td></tr> <!-- diff cache key pikafish_wiki-pkf:diff::1.12:old-174:rev-175 --> </table>

Afkbad http://www.pikafish.com/wiki/index.php?title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F&diff=174&oldid=prev 2024-03-11T20:41:53Z

<p></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="zh-Hans-CN"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年3月12日 (二) 04:41的版本</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">第4行：</td> <td colspan="2" class="diff-lineno">第4行：</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;"><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" 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><del style="font-weight: bold; text-decoration: none;">主流的CPU引擎均使用ab剪枝搜索，搜索过程中会进行巨量的剪枝。</del></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><ins style="font-weight: bold; text-decoration: none;">主流的CPU引擎均使用ab剪枝搜索，搜索过程中会进行巨量的剪枝。强大的引擎其分支因子不到2，也就是说，搜索到一个局面，从这个局面再往下搜索一次的话，平均搜不到2个着法。</ins></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;"><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>而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。</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>而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。</div></td></tr> <!-- diff cache key pikafish_wiki-pkf:diff::1.12:old-23:rev-174 --> </table>

Afkbad http://www.pikafish.com/wiki/index.php?title=%E5%BC%95%E6%93%8E%E8%AE%A1%E7%AE%97%E6%98%AF%E4%BD%BF%E7%94%A8%E2%80%9C%E7%A9%B7%E4%B8%BE%E6%B3%95%E2%80%9D%E5%90%97%EF%BC%9F&diff=23&oldid=prev 2023-11-22T18:37:59Z

<p>创建页面，内容为“不是。 搜索速度快，不代表用的是“穷举法”，就好像一个人计算速度越高于你，他也不会是一个个掰手指算的。 主流的CPU引擎均使用ab剪枝搜索，搜索过程中会进行巨量的剪枝。 而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。”</p> <p><b>新页面</b></p><div>不是。<br /> <br /> 搜索速度快，不代表用的是“穷举法”，就好像一个人计算速度越高于你，他也不会是一个个掰手指算的。<br /> <br /> <br /> 主流的CPU引擎均使用ab剪枝搜索，搜索过程中会进行巨量的剪枝。<br /> <br /> <br /> 而显卡引擎（阿尔法狗的搜索算法）的搜索方法是广义的mcts，用来配合大架构神经网络。搜索的速度和CPU引擎比起来慢极多，更不可能是“穷举”。</div>

Afkbad