{"id":21107,"date":"2020-09-20T14:30:00","date_gmt":"2020-09-20T06:30:00","guid":{"rendered":"https:\/\/swarma.org\/?p=21107"},"modified":"2020-09-20T14:30:00","modified_gmt":"2020-09-20T06:30:00","slug":"%e4%bb%8a%e6%99%9a8%e7%82%b9%e7%9b%b4%e6%92%ad%ef%bc%9a%e5%a6%82%e4%bd%95%e7%94%a8%e4%bf%a1%e6%81%af%e8%a7%86%e8%a7%92%e7%90%86%e8%a7%a3%e7%8e%b0%e4%bb%a3%e5%9b%a0%e6%9e%9c%e6%a8%a1%e5%9e%8b%e6%a1%86","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=21107","title":{"rendered":"\u4eca\u665a8\u70b9\u76f4\u64ad\uff1a\u5982\u4f55\u7528\u4fe1\u606f\u89c6\u89d2\u7406\u89e3\u73b0\u4ee3\u56e0\u679c\u6a21\u578b\u6846\u67b6\uff1f| \u56e0\u679c\u79d1\u5b66\u4e0eCasual AI\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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Judea Pearl \u57282020 \u667a\u6e90\u5927\u4f1a\u4e0a\u6307\u51fa<\/a>\u5f53\u524d\u6b63\u5728\u8fdb\u884c\u4e00\u573a\u56e0\u679c\u79d1\u5b66\u9769\u547d\uff0c\u76f8\u5bf9\u4e8e\u4ee5\u6570\u636e\u4e3a\u4e2d\u5fc3\u7684\u8f70\u8f70\u70c8\u70c8\u7684\u5927\u6570\u636e\u9769\u547d\uff0c\u4ee5\u79d1\u5b66\u4e3a\u4e2d\u5fc3\u7684\u56e0\u679c\u79d1\u5b66\u9769\u547d\u6216\u8bb8\u6ca1\u6709\u90a3\u4e48\u5e7f\u4e3a\u4eba\u77e5\uff0c\u4f46\u662f\u540c\u6837\u91cd\u8981\u3002\u5c24\u5176\u662f\u56e0\u679c\u4e4b\u68af\u7684\u63d0\u51fa\u548c\u7cfb\u7edf\u5316\u7814\u7a76\uff0c\u5f00\u59cb\u6539\u53d8\u5404\u4e2a\u9886\u57df\u79d1\u5b66\u5bb6\u5904\u7406\u56e0\u679c\u95ee\u9898\u7684\u65b9\u5f0f\uff0c\u4f7f\u5f97\u56e0\u679c\u7814\u7a76\u6210\u4e3a\u4e86\u4e00\u95e8\u65b0\u79d1\u5b66\u3002\u66f4\u4ee4\u4eba\u671f\u5f85\u7684\u4e8b\u60c5\u662f\uff0c\u56e0\u679c\u79d1\u5b66\u4e3a\u6211\u4eec\u6784\u5efa\u4e0b\u4e00\u4ee3 AI \u7684\u53d1\u5c55\u6307\u660e\u4e86\u65b9\u5411 —- \u6784\u5efa\u5177\u5907\u56e0\u679c\u63a8\u7406\u80fd\u529b\u548c Causal AI \u7cfb\u7edf\uff0c \u4e5f\u5c31\u662f\u8bf4 To Build Truly Intelligent Machines, Teach Them Cause and Effect\u3002<\/p>\n

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Judae Pearl\u5206\u4eab\u7684PPT\uff1a\u4e24\u6b21\u6570\u636e\u79d1\u5b66\u9769\u547d<\/span><\/p>\n

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\u4eca\u665a8\u70b9\uff0c\u201c\u56e0\u679c\u79d1\u5b66\u4e0eCasual AI\u201d\u8bfb\u4e66\u4f1a\u5c06\u8fdb\u884c<\/span>\u7b2c\u4e00\u6b21\u7ebf\u4e0a\u8bba\u6587\u5206\u4eab\uff0c\u5c06\u4e3a\u5927\u5bb6\u4e32\u8bb2\u56e0\u679c\u63a8\u7406\u76f8\u5173\u8bba\u6587<\/span><\/strong>\uff0c\u9996\u5148\u7740\u773c\u4e8e\u56e0\u679c\u7814\u7a76\u7684\u6e90\u5934\uff0c\u7b80\u5355\u4ecb\u7ecd\u54f2\u5b66\u4e2d\u7684\u56e0\u679c\u601d\u8003\uff1b\u5176\u6b21\u91cd\u70b9\u662f\u7528\u56e0\u679c\u4e4b\u68af(\u5b83\u7684\u4fe1\u606f\u89c6\u89d2—\u56de\u7b54\u56e0\u679c\u95ee\u9898\u9700\u8981\u76f8\u5e94\u7684\u4fe1\u606f)\u548c\u4e00\u4e2a\u4f8b\u5b50\uff0c\u6765\u7406\u89e3\u73b0\u4ee3\u56e0\u679c\u5efa\u6a21\u6846\u67b6\uff1b\u6700\u540e\u68b3\u7406\u56e0\u679c\u63a8\u7406\u548c AI \u9886\u57df\u7684\u878d\u5408\uff0c\u4ee5\u53ca Causal AI  \u7684\u5f3a\u4eba\u5de5\u667a\u80fd\u4e4b\u8def\u3002<\/span><\/span><\/p>\n


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\u4e3b\u8981\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/span><\/p>\n

Bareinboim, E., et al. “On Pearl\u2019s hierarchy and the foundations of causal inference.” ACM Special Volume in Honor of Judea Pearl (provisional title) (2020).<\/span><\/p>\n

\u7b80\u4ecb\uff1a\u672c\u6587\u662f Judea Pearl \u5b66\u751f Elias  Bareinboim \u7684ACM \u5173\u4e8e\u56e0\u679c\u4e4b\u68af\u7684\u5f53\u524d\u79d1\u5b66\u7406\u89e3\u7684<\/span>\u9080\u8bf7\u6587\u7ae0\u3002<\/span><\/p>\n

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J. Pearl, “The Seven Tools of Causal Inference with Reflections on Machine Learning,”  Communications of ACM, 62(3): 54-60, March 2019<\/span><\/p>\n

\u7b80\u4ecb\uff1a\u672c\u6587\u662f Judea Pearl \u5173\u4e8e\u56e0\u679c\u79d1\u5b66\u9ad8\u5c4b\u5efa\u74f4\u7684\u4ecb\u7ecd\u6587\u7ae0\uff0c\u7efc\u8ff0\u4e86\u5f53\u524dAI \u9047\u5230\u7684\u4e09\u5927\u56f0\u96be\uff0c\u6307\u51fa\u73b0\u4ee3\u56e0\u679c\u5efa\u6a21\u80fd\u591f\u89e3\u51b3\u8fd9\u4e9b\u56f0\u96be\u3002\u7136\u540e\u4ecb\u7ecd\u4e86\u56e0\u679c\u5efa\u6a21\u7684\u6838\u5fc3\u201c\u56e0\u679c\u4e4b\u68af\u201d\u548c\u56e0\u679c\u63a8\u7406\u5f15\u64ce\uff0c\u6700\u540e\u4ecb\u7ecd\u4e86\u56e0\u679c\u63a8\u7406\u9886\u57df\u7684\u4e03\u4e2a\u4e3b\u8981\u4efb\u52a1\u3002<\/span><\/p>\n

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Sch\u00f6lkopf, Bernhard. “Causality for machine learning.” arXiv preprint arXiv:1911.10500 (2019).<\/span><\/p>\n

\u7b80\u4ecb\uff1a\u8fd9\u662f\u4e00\u7bc7\u521a\u521a\u6302\u5728arxiv \u5c31\u88ab Pearl  \u4eb2\u81ea twitter \u70b9\u8d5e\u7684\u8bba\u6587\uff0c\u662f\u9a6c\u666e\u667a\u80fd\u6240\u6240\u957f Bernhard Sch\u00f6lkopf \u6700\u5f15\u4ee5\u4e3a\u50b2\u7684\u8bba\u6587\u4e4b\u4e00\uff0c\u4ed6\u628a\u88ab Pearl \u70b9\u8d5e\u8fd9\u4e8b\u60c5\u7b2c\u4e00\u65f6\u95f4\u5199\u5728\u4e2a\u4eba\u4e3b\u9875\u81ea\u6211\u4ecb\u7ecd\u7684\u7b2c\u4e00\u6bb5\u4e2d\u3002Sch\u00f6lkopf \u53ca\u5176\u56e2\u961f\u5728\u56e0\u679c\u7ed3\u5408\u673a\u5668\u5b66\u4e60\u65b9\u9762\u505a\u4e86\u6700\u591a\u7684\u5de5\u4f5c\uff0c\u6b64\u6587\u603b\u7ed3\u5e76\u5347\u534e\u4e86\u4fe1\u606f\u9769\u547d\u65f6\u4ee3\u4e0b\u56e0\u679c\u7ed3\u5408\u673a\u5668\u5b66\u4e60\u7684\u4e00\u822c\u7406\u8bba\u548c\u6df1\u523b\u601d\u8003\u3002<\/span><\/p>\n


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\u56e0\u679c\u79d1\u5b66\u4e0e Causal AI \u7cfb\u5217\u8bfb\u4e66\u4f1a | \u4f17\u5305\u51fa\u4e66<\/span><\/a><\/section>\n


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\u56fe\u7075\u5956\u5f97\u4e3bJudea Pearl \u667a\u6e90\u5927\u4f1a\u6f14\u8bb2\uff1a\u4ece\u201c\u5927\u6570\u636e\u9769\u547d\u201d\u5230\u201c\u56e0\u679c\u9769\u547d\u201d<\/strong><\/a>
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\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
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\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\ud83d\udc47\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u4eca\u665a\u76f4\u64ad<\/span><\/span><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

  \u76f4\u64ad\u9884\u544a   Judea Pearl \u57282020 \u667a\u6e90\u5927\u4f1a\u4e0a\u6307\u51fa\u5f53\u524d\u6b63\u5728\u8fdb\u884c\u4e00\u573a\u56e0\u679c\u79d1\u5b66\u9769\u547d\uff0c\u76f8\u5bf9\u4e8e\u4ee5\u6570\u636e\u4e3a\u4e2d\u5fc3\u7684\u8f70\u8f70\u70c8\u70c8\u7684\u5927\u6570\u636e\u9769\u547d\uff0c\u4ee5\u79d1\u5b66\u4e3a\u4e2d\u5fc3\u7684\u56e0\u679c\u79d1\u5b66\u9769\u547d\u6216\u8bb8\u6ca1\u6709\u90a3\u4e48\u5e7f\u4e3a\u4eba\u77e5\uff0c\u4f46\u662f\u540c\u6837\u91cd\u8981\u3002\u5c24\u5176\u662f\u56e0\u679c\u4e4b\u68af\u7684\u63d0\u51fa\u548c\u7cfb\u7edf\u5316\u7814\u7a76\uff0c\u5f00\u59cb\u6539\u53d8\u5404\u4e2a\u9886\u57df\u79d1\u5b66\u5bb6\u5904\u7406\u56e0\u679c\u95ee\u9898\u7684\u65b9\u5f0f\uff0c\u4f7f…<\/p>\n","protected":false},"author":1,"featured_media":21102,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21107"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21107"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/21107\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/21102"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21107"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21107"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21107"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=21107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}