{"id":17829,"date":"2019-12-27T21:39:25","date_gmt":"2019-12-28T09:50:24","guid":{"rendered":"https:\/\/swarma.org\/?p=17829"},"modified":"2019-12-28T17:50:29","modified_gmt":"2019-12-28T09:50:29","slug":"4459460c11","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=17829","title":{"rendered":"\u4e3a\u4e86\u7814\u7a76\u56e0\u679c\u5173\u7cfb\uff0c\u539f\u6765\u79d1\u5b66\u5bb6\u5728\u8fd9\u4e48\u591a\u65b9\u5411\u4e0a\u90fd\u6709\u5c1d\u8bd5"},"content":{"rendered":"
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\"\u96c6\u667a\"<\/p>\n

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\u5bfc\u8bed<\/span><\/strong><\/span><\/section>\n
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\u81ea\u4ece\u4f11\u8c1f\u558a\u51fa\u201c\u56e0\u679c\u662f\u4eba\u7c7b\u7684\u9519\u89c9\u201d\uff0c\u79d1\u5b66\u5bb6\u5c31\u518d\u4e5f\u505c\u4e0d\u4e0b\u5bf9\u56e0\u679c\u5173\u7cfb\u7684\u63a2\u5bfb\u3002\u672c\u6587\u5c1d\u8bd5\u6574\u7406\u8fd1\u5e74\u6765\u5173\u4e8e\u56e0\u679c\u63a8\u65ad\u7684\u4ee3\u8868\u6027\u7814\u7a76\uff0c\u68b3\u7406\u51fa\u51e0\u4e2a\u5178\u578b\u7684\u63a2\u7d22\u65b9\u5411\u3002\u5982\u679c\u4f60\u60f3\u8fdb\u4e00\u6b65\u4ea4\u6d41\u8ba8\u8bba\u5176\u4e2d\u7684\u8bba\u6587\uff0c\u8bf7\u70b9\u51fb\u9605\u8bfb\u539f\u6587\uff0c\u62a5\u540d\u53c2\u4e0e\u96c6\u667a\u7684\u7ebf\u4e0a\u8bba\u6587\u89e3\u8bfb\u6d3b\u52a8\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u5728\u73b0\u4ee3\u79d1\u5b66\u5230\u6765\u4e4b\u524d\uff0c\u4eba\u4eec\u4ece\u7ecf\u9a8c\u51fa\u53d1\uff0c\u901a\u8fc7\u5f52\u7eb3\u83b7\u5f97\u77e5\u8bc6\u3002\u5f52\u7eb3\u65b9\u6cd5\u53d7\u9650\u4e8e\u89c2\u6d4b\uff0c\u65e0\u6cd5\u4ea7\u751f\u7a81\u7834\u6027\u6210\u679c\u3002\u800c\u73b0\u4ee3\u79d1\u5b66\u5219\u662f\u5148\u4ece\u4e8b\u5b9e\u5f52\u7eb3\u51fa\u5047\u8bbe\u3001\u6a21\u578b\uff0c\u518d\u6839\u636e\u6570\u636e\u53bb\u9a8c\u8bc1\u6a21\u578b\u662f\u5426\u6b63\u786e\u3002\u800c\u6240\u8c13\u7684\u6a21\u578b\uff0c\u5219\u662f\u5bf9\u56e0\u679c\u5173\u7cfb\u7684\u4e00\u7ec4\u5047\u8bbe\u3002\u73b0\u4ee3\u79d1\u5b66\u7684\u65b9\u6cd5\u8bba\uff0c\u8ffd\u6839\u7a76\u5e95\u5c31\u5f52\u7ed3\u4e8e\u5230\u56e0\u679c\u5173\u7cfb\u7684\u5224\u5b9a\u3002<\/span><\/p>\n

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2002 \u5e74\uff0c\u52a0\u5dde\u5927\u5b66\u4f2f\u514b\u5229\u5206\u6821\u6559\u6388\u4ea8\u5229\u00b7\u5e03\u96f7\u8fea\u64b0\u6587\u6574\u7406\u4e86\u56e0\u679c\u63a8\u65ad\u7684\u5404\u79cd\u7ecf\u5178\u7406\u8bba\uff0c\u5e76\u6839\u636e\u4e0d\u540c\u5047\u8bbe\uff0c\u5c06\u5176\u6574\u7406\u4e3a\uff1a\u65b0\u4f11\u8c1f\u7406\u8bba\u3001\u53cd\u4e8b\u5b9e\u7406\u8bba\u3001\u64cd\u63a7\u5b9e\u9a8c\u7406\u8bba\u3001\u673a\u5236\u7406\u8bba\u8fd94\u7c7b\uff0c\u81ea\u7136\u79d1\u5b66\u548c\u793e\u4f1a\u79d1\u5b66\u4e2d\u8bb8\u591a\u9488\u5bf9\u56e0\u679c\u5173\u7cfb\u7684\u68c0\u6d4b\u65b9\u6cd5\uff0c\u90fd\u53ef\u4ee5\u5f52\u4e8e\u5176\u4e2d\u3002<\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Models of Causal Inference: Going Beyond the Neyman-Rubin-Holland Theory<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

http:\/\/www-personal.umich.edu\/~wmebane\/midx2003.pdf<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u800c\u4ece\u8ba1\u7b97\u89c6\u89d2\uff0c\u8fd1\u5e74\u6765\u8fd8\u5174\u8d77\u4e86\u5229\u7528\u201c\u67ef\u5c14\u83ab\u54e5\u6d1b\u592b\u590d\u6742\u5ea6\u201d\u548c\u201c\u538b\u7f29\u611f\u77e5\u201d\u7684\u65b0\u65b9\u6cd5\u3002<\/span><\/p>\n

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\u672c\u6587\u4ece\u8fd9\u51e0\u4e2a\u89d2\u5ea6\u51fa\u53d1\uff0c\u7b80\u8981\u68b3\u7406\u8fd1\u5e74\u6765\u5173\u4e8e\u56e0\u679c\u5173\u7cfb\u68c0\u6d4b\uff0c\u7279\u522b\u662f\u590d\u6742\u7cfb\u7edf\u4e2d\u56e0\u679c\u68c0\u6d4b\u7684\u4ee3\u8868\u6027\u7814\u7a76\u3002<\/span><\/p>\n

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1. \u4f11\u8c1f\u4e4b\u95ee\uff1a\u5982\u4f55\u8bc1\u660e<\/strong><\/span><\/p>\n

\u662f\u56e0\u679c\u5173\u7cfb\u800c\u975e\u76f8\u5173\u5173\u7cfb<\/span><\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u54f2\u5b66\u5bb6\u5927\u536b\u00b7\u4f11\u8c1f\u6700\u65e9\u6df1\u523b\u601d\u8003\u201c\u56e0\u679c\u5173\u7cfb\u201d\uff1a\u4eba\u4eec\u6240\u8c13\u7684\u56e0\u679c\uff0c\u5b9e\u8d28\u4e0a\u662f\u5bf9\u201c\u76f8\u5173\u5173\u7cfb\u201d\u7684\u5f52\u7eb3\u63a8\u7406\uff0c\u800c\u76f8\u5173\u6027\u65e0\u6cd5\u4fdd\u8bc1\u56e0\u679c\u6027\u3002\u4f11\u8c1f\u6709\u8a00\u2014\u2014\u201c\u56e0\u679c\u5173\u7cfb\u201d\u662f\u6211\u4eec\u7684\u9519\u89c9\u3002<\/span><\/p>\n

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\u4e4b\u540e\uff0c\u4ee5\u6069\u65af\u7279\u00b7\u9a6c\u8d6b\u3001\u4f2f\u7279\u5170\u00b7\u7f57\u7d20\u7b49\u4eba\u4e3a\u4ee3\u8868\u7684\u7269\u7406\u5b66\u5bb6\u548c\u6570\u5b66\u5bb6\uff0c\u6539\u9020\u4e86\u4f11\u8c1f\u7684\u7406\u8bba\uff0c\u63d0\u51fa\u4e86\u65b0\u4f11\u8c1f\u5f0f\uff08New Humean\uff09\u7684\u6846\u67b6\u2014\u2014X\u5982\u679c\u662fY\u7684\u539f\u56e0\uff0c\u90a3\u4e48X\u7684\u51fa\u73b0\uff0c\u5e94\u8be5\u662fY\u51fa\u73b0\u7684\u5145\u5206\u6761\u4ef6\u3002<\/span><\/p>\n

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\u8fd9\u4e00\u7c7b\u7684\u5178\u578b\u7814\u7a76\u662f 2012 \u5e74 Science \u520a\u8f7d\u7684\u4e00\u7bc7\u9488\u5bf9\u590d\u6742\u751f\u6001\u7cfb\u7edf\u4e2d\u56e0\u679c\u5173\u7cfb\u68c0\u6d4b\u7684\u8bba\u6587\u3002\u6587\u4e2d\u63d0\u51fa\u4e86\u6536\u655b\u4ea4\u53c9\u6620\u5c04\u7b97\u6cd5\uff0c\u7efc\u5408\u8003\u8651 X \u63a8\u51fa Y\u3001\u4ece Y \u5012\u63a8 X\uff0c\u6765\u5224\u65ad\u5176\u56e0\u679c\u5173\u7cfb\uff0c\u6548\u679c\u826f\u597d\u3002\u8fd9\u7c7b\u65b9\u6cd5\u6240\u91cf\u5316\u7684\uff0c\u4e0d\u662f\u53d8\u91cf X \u548c\u53d8\u91cf Y \u4e4b\u95f4\u56e0\u679c\u5173\u7cfb\u7684\u5f3a\u5f31\uff0c\u800c\u662f\u5b83\u4eec\u4e4b\u95f4\u5b58\u5728\u56e0\u679c\u5173\u7cfb\u7684\u53ef\u80fd\u6027\u3002<\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Detecting Causality in Complex Ecosystems<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/science.sciencemag.org\/content\/338\/6106\/496<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u76f8\u5173\u9605\u8bfb\uff1a<\/span><\/p>\n

Science\u7ecf\u5178\u8bba\u6587\uff1a\u5982\u4f55\u68c0\u6d4b\u590d\u6742\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\uff1f<\/a><\/span><\/p>\n

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\u53e6\u4e00\u4e2a\u5178\u578b\u7684\u65b9\u6cd5\uff0c\u662f2019 \u5e74 11\u6708 \u7684 Science Advances \u4e00\u7bc7\u8bba\u6587\u4e2d\u63d0\u51fa\u7684 PCMCI \u7b97\u6cd5\u3002\u590d\u6742\u7cfb\u7edf\u4e2d\u5b58\u5728\u5927\u91cf\u975e\u7ebf\u6027\u76f8\u4e92\u5173\u7cfb\uff0c\u56e0\u679c\u4f5c\u7528\u6709\u8f83\u957f\u65f6\u95f4\u6ede\u540e\uff0c\u5e76\u4e14\u8981\u7d20\u4e4b\u95f4\u53ea\u5728\u90e8\u5206\u60c5\u51b5\u4e0b\u4f1a\u51fa\u73b0\u56e0\u679c\u5173\u7cfb\u3002\u9488\u5bf9\u8fd9\u4e9b\u7279\u70b9\uff0c\u8fd9\u5957\u7b97\u6cd5\uff0c\u65e2\u8003\u8651\u5230\u201c\u9519\u8bef\u68c0\u51fa\u56e0\u679c\u5173\u7cfb\u201d\uff0c\u4e5f\u8003\u8651\u5230\u201c\u672a\u68c0\u51fa\u56e0\u679c\u5173\u7cfb\u201d\uff0c\u56e0\u800c\u6a21\u578b\u5177\u6709\u66f4\u5f3a\u7684\u68c0\u6d4b\u80fd\u529b\u3002<\/span><\/p>\n

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\"\u96c6\u667a\"<\/section>\n
\u56fe 1\uff1a\u5c06PCMCI\u7b97\u6cd5\u5e94\u7528\u5230\u5168\u7403\u6c14\u5019\u6570\u636e\u4e2d\uff0c\u68c0\u6d4bWPAC\uff08\u897f\u592a\u5e73\u6d0b\uff09\u3001CPAC\uff08\u4e2d\u592a\u5e73\u6d0b\uff09\u3001EPAC\uff08\u4e1c\u592a\u5e73\u6d0b\uff09\u3001ATL\uff08\u5927\u897f\u6d0b\uff09\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb<\/strong><\/span><\/section>\n

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\u4e0a\u56fe\u5c55\u793a\u4e86\u8be5\u65b9\u6cd5\u5728\u5168\u7403\u6c14\u8c61\u6570\u636e\u4e2d\u7684\u5e94\u7528\u3002\u56fe\u4e2d\u7684\u6bcf\u4e2a\u5706\u5708\u4ee3\u8868\u7684\u67d0\u4e2a\u5730\u533a\u7684\u6c14\u5019\u7cfb\u7edf\uff0c\u56fe\u7247\u4e0b\u65b9\u7684\u989c\u8272\u6df1\u6d45\u4ee3\u8868\u4e86\u56e0\u679c\u6027\/\u76f8\u5173\u6027\u7684\u5f3a\u5f31\u3002\u5de6\u56fe\u5c55\u793a\u4e86\u4e0d\u540c\u5730\u533a\u4e4b\u95f4\u7684\u76f8\u5173\u5173\u7cfb\uff0c\u53f3\u56fe\u662f PCMCI \u7b97\u6cd5\u4ece\u76f8\u5173\u5173\u7cfb\u4e2d\u68c0\u6d4b\u51fa\u7684\u56e0\u679c\u5173\u7cfb\u3002\u53ef\u4ee5\u53d1\u73b0\uff0c\u56e0\u679c\u7bad\u5934\u8fdc\u8fdc\u5c11\u4e8e\u76f8\u5173\u7bad\u5934\uff0c\u4e14\u76f8\u5173\u6027\u7684\u5f3a\u5f31\u4e0d\u7b49\u4e8e\u56e0\u679c\u6027\u7684\u5f3a\u5f31\uff0c\u8fd9\u8bf4\u660e\u4e86 PCMCI \u7b97\u6cd5\u80fd\u591f\u4ece\u590d\u6742\u7cfb\u7edf\u5185\u7684\u4f17\u591a\u5173\u7cfb\u4e2d\uff0c\u627e\u51fa\u771f\u6b63\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Detecting and quantifying causal associations in large nonlinear time series datasets<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/advances.sciencemag.org\/content\/5\/11\/eaau4996<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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2. \u53cd\u4e8b\u5b9e\u2014\u2014<\/strong><\/span><\/p>\n

\u601d\u60f3\u5b9e\u9a8c\u4e2d\u7684\u56e0\u679c\u63a8\u65ad<\/span><\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u5982\u679cX\u6ca1\u6709\u53d1\u751f\uff0c\u90a3\u4e48\u662f\u4e0d\u662fY\u5c31\u4e00\u5b9a\u4e0d\u4f1a\u53d1\u751f\uff1f\u8fd9\u6837\u5047\u8bbe\u4e8b\u4ef6\u6ca1\u6709\u53d1\u751f\u7684\u601d\u60f3\u5b9e\u9a8c\uff0c\u5c31\u662f\u53cd\u4e8b\u5b9e\u578b\uff08count factual\uff09\u7684\u56e0\u679c\u5173\u7cfb\u68c0\u6d4b\u3002<\/span><\/p>\n

\n

\u54f2\u5b66\u5bb6\u5927\u536b\u00b7\u5218\u6613\u65af\uff0c\u5b8c\u5584\u4e86\u53cd\u4e8b\u5b9e\u6761\u4ef6\u8bed\u53e5\uff0c\u628a\u53cd\u4e8b\u5b9e\u56e0\u679c\u63a8\u65ad\u7684\u65b9\u6cd5\u63a8\u5411\u6b63\u8f68\u3002\u8fd9\u5957\u65b9\u6cd5\u7684\u4f18\u70b9\uff0c\u5728\u4e8e\u5176\u80fd\u591f\u901a\u8fc7\u601d\u60f3\u5b9e\u9a8c\uff0c\u6765\u63a2\u8ba8\u56e0\u679c\u5173\u7cfb\uff0c\u800c\u4e0d\u9700\u8981\u771f\u5b9e\u573a\u666f\u3002<\/span><\/p>\n

\n

\u82f1\u56fd\u5386\u53f2\u5b66\u5bb6\u5c3c\u5c14\u00b7\u5f17\u683c\u68ee\u5199\u300a\u865a\u62df\u7684\u5386\u53f2\u300b\u8fd9\u672c\u4e66\uff0c\u63a2\u8ba8\u5982\u679c\u5386\u53f2\u4e0a\u7684\u5927\u4e8b\u4ef6\u7a76\u7adf\u662f\u5076\u7136\u8fd8\u662f\u5fc5\u7136\u3002\u4e66\u4e2d\u662f\u5047\u8bbe\u5728\u67d0\u4e2a\u5173\u952e\u8282\u70b9\u4e0a\uff0c\u67d0\u4ef6\u4e8b\u5e76\u6ca1\u6709\u53d1\u751f\uff0c\u5386\u53f2\u7684\u6f14\u5316\u4f1a\u662f\u600e\u6837\u3002\u8fd9\u5c31\u662f\u53cd\u4e8b\u5b9e\u7684\u601d\u60f3\u5b9e\u9a8c\u65b9\u6cd5\u3002<\/span><\/p>\n

\n

\u4e2d\u6587\u5c4b\u7684\u601d\u60f3\u5b9e\u9a8c\uff0c\u5219\u662f\u7f8e\u56fd\u54f2\u5b66\u5bb6\u7ea6\u7ff0\u00b7\u5e0c\u5c14\u52d2\u63d0\u51fa\u53e6\u4e00\u6848\u4f8b\u3002\u5047\u8bbe\u4e00\u4e2a\u4e0d\u61c2\u4e2d\u6587\u7684\u4eba\uff0c\u85cf\u5728\u5c4b\u91cc\uff0cTa\u80fd\u591f\u901a\u8fc7\u6267\u884c\u67d0\u4e2a\u5173\u4e8e\u201c\u5982\u4f55\u8fdb\u884c\u4e2d\u6587\u5bf9\u8bdd\u201d\u7684\u89c4\u5219\u7cfb\u7edf\uff0c\u9a97\u8fc7\u4eba\u4eec\uff0c\u8ba9\u4eba\u4eec\u8bef\u4ee5\u4e3aTa\u7406\u89e3\u4e2d\u6587\u3002\u5982\u679c\u4f60\u4e0d\u8ba4\u4e3a\u4e2d\u6587\u5c4b\u91cc\u7684Ta\u7406\u89e3\u4e2d\u6587\uff0c\u5c31\u4f1a\u5f62\u6210\u53cd\u4e8b\u5b9e\uff0c\u4ece\u800c\u53cd\u9a73\u4e86\u56fe\u7075\u6d4b\u8bd5\u4e2d\u7684\u56e0\u679c\u5047\u8bbe\u2014\u2014\u56e0\u4e3a\u7535\u8111\u53ef\u4ee5\u6a21\u62df\u4eba\u8111\u7684\u67d0\u4e9b\u7279\u5b9a\u529f\u80fd\uff0c\u6240\u4ee5\u53ef\u4ee5\u8ba4\u4e3a\u7535\u8111\u5177\u6709\u4eba\u7c7b\u7684\u667a\u80fd\u3002<\/span><\/p>\n

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3. \u64cd\u63a7\u5b9e\u9a8c\u2014\u2014<\/strong><\/span><\/p>\n

\u5982\u4f55\u7528\u5b9e\u9a8c\u5206\u6790\u56e0\u679c\u5173\u7cfb<\/span><\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u968f\u673a\u53cc\u76f2\u5b9e\u9a8c\uff0c\u662f\u533b\u5b66\u754c\u6700\u5e38\u7528\u7684\u56e0\u679c\u68c0\u6d4b\u65b9\u6cd5\uff0c\u5e38\u7528\u8bed\u836f\u7269\u6548\u679c\u68c0\u6d4b\u3002\u901a\u8fc7\u5c06\u4eba\u7fa4\u968f\u673a\u5206\u4e3a\u4e24\u7ec4\uff0c\u4f7f\u4e24\u7ec4\u5728\u5404\u79cd\u8bc4\u4ef7\u6307\u6807\u4e0a\u90fd\u5c3d\u53ef\u80fd\u76f8\u4f3c\uff0c\u800c\u552f\u4e00\u4e0d\u540c\u7684\u662f\u5f85\u8003\u5bdf\u7684\u539f\u56e0\uff0c\u8fdb\u800c\u6839\u636e\u4e24\u7ec4\u4e4b\u95f4\u7684\u533a\u522b\u5224\u5b9a\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n

\n

\u4e92\u8054\u7f51\u516c\u53f8\u505a\u7684AB\u6d4b\u8bd5\uff0c\u4e5f\u662f\u901a\u8fc7\u7ed9\u4e0d\u540c\u7ec4\u7684\u7528\u6237\u5c55\u793a\u4e0d\u540c\u6837\u5f0f\u7684\u7f51\u9875\uff0c\u6765\u5224\u5b9a\u4e0d\u540c\u7684\u7f51\u9875\u8bbe\u8ba1\u3001\u6587\u7ae0\u6807\u9898\u7b49\u56e0\u7d20\u548c\u70b9\u51fb\u7387\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n

\n

\u73b0\u5b9e\u4e2d\u8fd8\u6709\u5f88\u591a\u573a\u666f\u65e0\u6cd5\u8fdb\u884c\u968f\u673a\u53cc\u76f2\u5b9e\u9a8c\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u89c2\u5bdf\uff0c\u770b\u5230\u4e0d\u540c\u884c\u4e3a\u4ea7\u751f\u4e0d\u540c\u7684\u5f71\u54cd\u3002\u7f8e\u56fd\u7edf\u8ba1\u5b66\u5bb6\u5510\u7eb3\u5fb7\u00b7\u9c81\u5bbe\uff0c\u63d0\u51fa\u4e86\u201c\u865a\u62df\u4e8b\u5b9e\u6a21\u578b\u201d\uff0c\u901a\u8fc7\u8ba1\u7b97\u6765\u68c0\u6d4b\u56e0\u679c\u5173\u7cfb\u2014\u2014\u6839\u636e\u89c2\u5bdf\u7ed3\u679c\uff0c\u7528\u7b97\u6cd5\u6a21\u62df\u8fdb\u884c\u53cc\u76f2\u5b9e\u9a8c\uff0c\u770b\u4f1a\u5f97\u5230\u600e\u6837\u7684\u56e0\u679c\u8054\u7cfb\u3002<\/span><\/p>\n

\n

\u4e13\u6ce8\u56e0\u679c\u63a8\u65ad\u7814\u7a76\u7684\u5b66\u8005\u6731\u8fea\u4e9a\u00b7\u73c0\u5c14\u5219\u8d28\u7591\u9c81\u5bbe\u7684\u865a\u62df\u4e8b\u5b9e\u6a21\u578b\uff0c\u4ed6\u8ba4\u4e3a\u81ea\u5df1\u7684\u56e0\u5b50\u56fe\u6a21\u578b\uff08casual diagram\uff09\u66f4\u6e05\u6670\u3002\u4f46\u6570\u5b66\u5bb6\u5df2\u7ecf\u8bc1\u660e\uff0c\u73c0\u5c14\u7684\u6a21\u578b\u5176\u5b9e\u662f\u548c\u9c81\u5bbe\u7684\u6a21\u578b\u662f\u7b49\u4ef7\u7684\uff0c\u53ea\u662f\u8868\u8fbe\u5f62\u5f0f\u4e0d\u540c\u3002<\/span><\/p>\n

\n

\"\u96c6\u667a\"<\/section>\n

\u56fe 2\uff1a\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6\uff0c\u56fe\u7075\u5956\u5f97\u4e3b\u6731\u8fea\u4e9a\u00b7\u73c0\u5c14\u548c\u4ed6\u7684\u300a\u4e3a\u4ec0\u4e48\u300b<\/strong><\/span><\/p>\n

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\n
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<\/p>\n

4. \u53d1\u73b0\u673a\u5236\u2014\u2014<\/strong><\/span><\/p>\n

\u4ece\u539f\u56e0\u600e\u6837\u4e00\u6b65\u6b65\u63a8\u5230\u7ed3\u679c<\/span><\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u56e0\u679c\u5173\u7cfb\uff0c\u65e0\u8bba\u600e\u6837\u7814\u7a76\uff0c\u90fd\u7ed5\u4e0d\u6539\u56e0\u7d20\u4e4b\u95f4\u5185\u90e8\u7684\u4f5c\u7528\u673a\u5236\u3002\u627e\u5230\u4e86\u4e00\u6761\u4ece\u539f\u56e0\u5230\u7ed3\u679c\u7684\u5f71\u54cd\u673a\u7406\uff0c\u624d\u80fd\u771f\u6b63\u5224\u65ad\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n

\n

\u6bd4\u5982\u9488\u5bf9\u201c\u5438\u70df\u662f\u80ba\u764c\u7684\u539f\u56e0\u5417\u201d\u8fd9\u4e2a\u5927\u95ee\u9898\uff0c\u4e00\u65b9\u9762\uff0c\u7814\u7a76\u8005\u4f1a\u8003\u5bdf\u88ab\u8bd5\u4eba\u5458\u5728\u5438\u70df\u540e\uff0c\u80ba\u90e8\u7ec4\u7ec7\u4f1a\u53d1\u751f\u600e\u6837\u7684\u53d8\u5316\uff0c\u8fd9\u4e9b\u53d8\u5316\u53c8\u662f\u5982\u4f55\u5bfc\u81f4\u764c\u7ec6\u80de\u66f4\u5bb9\u6613\u51fa\u73b0\u7684\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u7814\u7a76\u8005\u63d0\u53d6\u51fa\u9999\u70df\u4e2d\u7684\u5c3c\u53e4\u4e01\uff0c\u518d\u901a\u8fc7\u4f53\u5916\u5b9e\u9a8c\uff0c\u6700\u7ec8\u786e\u5b9a\u70df\u8349\u4e2d\u7684\u5c3c\u53e4\u4e01\u81f4\u764c\u3002\u7c7b\u4f3c\u7684\u7814\u7a76\u601d\u8def\uff0c\u4e5f\u88ab\u5e94\u7528\u5728\u5bfb\u627e\u57fa\u56e0\u53d8\u5f02\u548c\u75be\u75c5\u4e4b\u95f4\u7684\u5173\u7cfb\u4e0a\u3002<\/span><\/p>\n

\n

2019 \u5e74\u521d\uff0c\u65b0\u520a Nature Machine Intelligence \u7684\u4e00\u7bc7\u8bba\u6587\uff0c\u63d0\u51fa\u4e00\u5957\u901a\u7528\u7684\u3001\u65e0\u76d1\u7763\u4e14\u65e0\u53c2\u6570\u7684\u7b97\u6cd5\uff0c\u80fd\u591f\u901a\u8fc7\u53cd\u5377\u79ef\u64cd\u4f5c\u63d0\u53d6\u6a21\u578b\u3001\u8fdb\u884c\u56e0\u679c\u805a\u7c7b\uff0c\u5728\u5bf9\u5143\u80de\u81ea\u52a8\u673a\u6570\u636e\u548c\u56fe\u7f51\u7edc\u6570\u636e\u7684\u5904\u7406\u4e2d\uff0c\u90fd\u6027\u80fd\u826f\u597d\u3002\u8fd9\u5728\u673a\u5668\u5b66\u4e60\u4f20\u7edf\u7edf\u8ba1\u65b9\u6cd5\u4e4b\u5916\uff0c\u63a2\u7d22\u4e86\u5982\u4f55\u6559\u4f1a\u673a\u5668\u7406\u89e3\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n

\n

\u76f8\u5173\u9605\u8bfb\uff1a<\/span><\/p>\n

Nature\u673a\u5668\u667a\u80fd\uff1a\u5982\u4f55\u57fa\u4e8e\u7b97\u6cd5\u4fe1\u606f\u7834\u89e3\u56e0\u679c\u63a8\u65ad\u96be\u9898<\/a><\/span><\/p>\n

\n

\n
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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Causal deconvolution by algorithmic generative models<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/p>\n

https:\/\/www.nature.com\/articles\/s42256-018-0005-0<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

\n

\u8ba1\u7b97\u7406\u8bba\u7684\u601d\u60f3\uff0c\u8fd1\u5e74\u6765\u4e5f\u88ab\u5f15\u5165\u4e86\u56e0\u679c\u5173\u7cfb\u7814\u7a76\u4e2d\u30022019 \u5e74 10 \u6708\u53d1\u5728 arxiv.org \u7684\u4e00\u7bc7\u9884\u5370\u672c\u662f\u8fd9\u7c7b\u7814\u7a76\u7684\u5178\u578b\uff0c\u7814\u7a76\u8005\u57fa\u4e8e\u6761\u4ef6\u6982\u7387\u4e0b\u7684 Kolmogorov \u590d\u6742\u5ea6\u4e0d\u540c\uff0c\u63a8\u5bfc\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\u3002<\/span><\/p>\n

<\/span><\/p>\n

\n
\n
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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Causal Inference via Conditional Kolmogorov Complexity using MDL Binning<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/arxiv.org\/abs\/1911.00332<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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<\/p>\n

5. \u538b\u7f29\u611f\u77e5\u2014\u2014<\/strong><\/span><\/p>\n

\u56e0\u679c\u5173\u7cfb\u63a8\u65ad\u65b0\u65b9\u5411<\/span><\/strong><\/span><\/p>\n

<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\u5229\u7528\u538b\u7f29\u611f\u77e5\u65b9\u6cd5\uff0c\u7814\u7a76\u56e0\u679c\u5173\u7cfb\uff0c\u662f\u65b0\u5174\u7684\u4e00\u4e2a\u7814\u7a76\u65b9\u5411\u3002\u538b\u7f29\u611f\u77e5\u53c8\u79f0\u538b\u7f29\u91c7\u6837\u6216\u7a00\u758f\u91c7\u6837\uff0c\u662f\u4fe1\u53f7\u5904\u7406\u9886\u57df\u7684\u6982\u5ff5\uff0c\u6307\u901a\u8fc7\u91c7\u7528\u66f4\u5c11\u7684\u4fe1\u606f\u3001\u6765\u5c3d\u53ef\u80fd\u903c\u771f\u5730\u91cd\u73b0\u539f\u59cb\u6570\u636e\u4e2d\u7684\u6a21\u5f0f\u3002\u7ecf\u8fc7\u538b\u7f29\uff0c\u566a\u97f3\u548c\u975e\u5fc5\u8981\u4fe1\u606f\u88ab\u8fc7\u6ee4\uff0c\u6570\u636e\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\u80fd\u591f\u66f4\u5bb9\u6613\u88ab\u627e\u5230\u3002<\/span><\/p>\n

\n

\u6839\u636e\u57fa\u56e0\u4e0e\u73af\u5883\u7684\u76f8\u4e92\u4f5c\u7528\u6570\u636e\uff0c\u627e\u5230\u5f71\u54cd\u4eba\u8eab\u9ad8\u7684\u57fa\u56e0\u7a81\u53d8\u4f4d\u70b9\uff0c\u8be5\u65b9\u6cd5\u80fd\u591f\u627e\u523070%-100%\u7684\u4e4b\u524d\u4f20\u7edf\u65b9\u6cd5\uff08\u5168\u57fa\u56e0\u7ec4\u5173\u8054\u5206\u6790\uff09\u627e\u5230\u548c\u8eab\u9ad8\u76f8\u5173\u7684\u4f4d\u70b9\uff0c\u901a\u8fc7\u6539\u53d8L1\u6b63\u5219\u9879\u7684\u6743\u91cd\uff08\u538b\u7f29\u7684\u6bd4\u4f8b\uff09\uff0c\u8fd8\u80fd\u591f\u5728\u5bfb\u627e\u76f8\u5173\u4f4d\u70b9\u7684\u7684\u8fc7\u7a0b\u4e2d\uff0c\u53d1\u73b0\u80fd\u627e\u5230\u7684\u4f4d\u70b9\u6570\u76ee\u7a81\u7136\u589e\u591a\uff08\u76f8\u53d8\u73b0\u8c61\uff09\u3002<\/span><\/p>\n

<\/span><\/p>\n

\n
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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Applying compressed sensing to genome-wide association studies<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC4078394\/<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

\n

\u5bf9\u4e8e\u65f6\u95f4\u5e8f\u5217\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u91c7\u7528\u7f51\u7edc\u91cd\u6784\u7684\u65b9\u6cd5\u627e\u5230\u56e0\u679c\u5173\u7cfb\uff0c\u800c\u91cd\u6784\u7f51\u7edc\u7684\u8fc7\u7a0b\uff0c\u672c\u8d28\u4e0a\u662f\u5bf9\u4fe1\u606f\u7684\u538b\u7f29\u8fc7\u6ee4\u3002\u5728 2014 \u5e74\u53d1\u8868\u4e8e Nature Communications \u4e00\u7bc7\u8bba\u6587\u4e2d\uff0c\u7814\u7a76\u8005\u57fa\u4e8e\u4f20\u67d3\u75c5\u4f20\u64ad\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u4f7f\u7528\u76f8\u5bf9\u8f83\u5c11\u6570\u636e\uff0c\u4e14\u5728\u90e8\u5206\u8282\u70b9\u65e0\u6cd5\u83b7\u53d6\u6570\u636e\u7684\u6761\u4ef6\u4e0b\uff0c\u7528\u91cd\u6784\u540e\u7684\u7f51\u7edc\uff0c\u53bb\u9664\u6570\u636e\u4e2d\u7684\u566a\u58f0\uff0c\u627e\u51fa\u4e86\u4f20\u64ad\u6e90\u3002<\/span><\/p>\n

<\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Reconstructing propagation networks with natural diversity and identifying hidden sources<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/www.nature.com\/articles\/ncomms5323#Sec1<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

\n

\u627e\u5230\u56e0\u679c\u5173\u7cfb\uff0c\u5bf9\u4e8e\u6784\u5efa\u53ef\u89e3\u91ca\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u81f3\u5173\u91cd\u8981\u3002\u8981\u89e3\u91ca\u6a21\u578b\u7684\u51b3\u7b56\uff0c\u6a21\u578b\u8981\u80fd\u56de\u7b54\u53cd\u4e8b\u5b9e\u7684what if\u578b\u95ee\u9898\uff0c\u8fd9\u9700\u8981\u673a\u5668\u80fd\u6784\u5efa\u56e0\u679c\u5173\u7cfb\u6a21\u578b\u3002<\/span><\/p>\n

\n

2019 \u5e74 10 \u6708\u53d1\u8868\u5728 Physical Review Letters \u7684\u4e00\u9879\u7814\u7a76\uff0c\u501f\u52a9\u538b\u7f29\u611f\u77e5\uff0c\u540c\u65f6\u53c2\u8003\u4e86\u4eba\u8111\u8ba4\u77e5\u8bbe\u8ba1\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u8ba9\u673a\u5668\u5b66\u5230\u4e86\u5929\u4f53\u8fd0\u884c\u80cc\u540e\u7684\u56e0\u679c\u89c4\u5f8b\u3002<\/span><\/p>\n

\n

\"\u96c6\u667a\"<\/section>\n

\u56fe 3\uff1aa\uff09\u4eba\u7c7b\u7684\u601d\u8003\u65b9\u5f0f\uff0c\u4ece\u89c2\u5bdf\u5230\u62bd\u8c61\u8868\u5f81\u51fa\u6a21\u578b\uff0c\u518d\u57fa\u4e8e\u6a21\u578b\u56de\u7b54\u76f8\u5173\u95ee\u9898\uff0cb\uff09\u4eff\u7167\u4eba\u8111\u8ba4\u77e5\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u5176\u4e2d\u5047\u8bbe\u5bf9\u89c2\u5bdf\u7684\u8868\u5f81\u8981\u5c3d\u53ef\u80fd\u7b80\u6d01<\/strong><\/span><\/p>\n

\n

\u7814\u7a76\u8005\u8bbe\u8ba1\u4e86\u4e24\u4e2a\u795e\u7ecf\u7f51\u7edc\uff0c\u4e00\u4e2a\u53d1\u73b0\u89c4\u5f8b\uff08\u7528\u66f4\u5c11\u7684\u795e\u7ecf\u5143\u8868\u5f81\u6570\u636e\u4e2d\u7684\u89c4\u5f8b\uff09\uff0c\u4e00\u4e2a\u89e3\u91ca\u89c4\u5f8b\uff08\u627e\u5230\u56e0\u679c\u6a21\u578b\uff09\uff0c\u5728\u6ca1\u6709\u8fdb\u884c\u4efb\u4f55\u521d\u59cb\u5047\u8bbe\u7684\u524d\u63d0\u4e0b\uff0c\u6839\u636e\u592a\u9633\u7cfb\u884c\u661f\u7684\u8fd0\u52a8\u8f68\u8ff9\u7684\u6570\u636e\uff0c\u901a\u8fc7\u538b\u7f29\u611f\u77e5\uff0c\u53d1\u73b0\u4e86\u5929\u4f53\u4e4b\u95f4\u7684\u5173\u7cfb\u2014\u2014\u5730\u7403\u7ed5\u7740\u592a\u9633\u8f6c\u3002<\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Discovering physical concepts with neural networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/p>\n

https:\/\/journals.aps.org\/prl\/accepted\/9e07eY09T2e1fd7f88ae46166090ef41fa6ad4c34<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u56e0\u679c\u63a8\u65ad\u7684\u5177\u4f53\u65b9\u6cd5\uff0c\u6709\u5f88\u591a\u79cd\uff0c\u7136\u8ffd\u6839\u6eaf\u6e90\uff0c\u90fd\u53ef\u4ee5\u8ffd\u6eaf\u5230\u67d0\u4e00\u79cd\u6734\u7d20\u7684\u5047\u8bbe\u4e0a\u3002\u8fd9\u7bc7\u6587\u7ae0\u6574\u7406\u4e86\u5bf9\u56e0\u679c\u63a8\u65ad\u65b9\u6cd5\u8fd1\u5e74\u6765\u7684\u4e00\u4e9b\u4ee3\u8868\u6027\u7814\u7a76\uff0c\u5e0c\u671b\u5e2e\u4f60\u5efa\u7acb\u5bf9\u56e0\u679c\u63a8\u65ad\u7814\u7a76\u7684\u7c97\u7565\u8ba4\u8bc6\u3002<\/span><\/p>\n

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\u5982\u679c\u4f60\u5bf9\u672c\u6587\u6d89\u53ca\u5230\u7684\u67d0\u4e9b\u8bba\u6587\u611f\u5174\u8da3\u3001\u5e0c\u671b\u8fdb\u4e00\u6b65\u5b66\u4e60\uff0c\u6216\u8005\u4f60\u7814\u8bfb\u8fc7\u5176\u4e2d\u7684\u67d0\u4e9b\u8bba\u6587\u3001\u5e0c\u671b\u8bb2\u7ed9\u9700\u8981\u7684\u540c\u5b66\u542c\uff0c\u8bf7\u70b9\u51fb\u9875\u9762\u5e95\u90e8\u7684\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u53c2\u4e0e\u96c6\u667a\u6591\u56fe\u7f51\u7ad9\u7684\u7ebf\u4e0a\u8bba\u6587\u89e3\u8bfb\u6d3b\u52a8\u3002<\/span><\/p>\n

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\u4f5c\u8005\uff1a\u90ed\u745e\u4e1c\u3001\u5218\u57f9\u6e90<\/span><\/p>\n

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\u63a8\u8350\u9605\u8bfb<\/strong><\/span><\/p>\n

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Science\u7ecf\u5178\u8bba\u6587\uff1a\u5982\u4f55\u68c0\u6d4b\u590d\u6742\u751f\u6001\u7cfb\u7edf\u4e2d\u7684\u56e0\u679c\u5173\u7cfb\uff1f<\/span><\/strong><\/a><\/p>\n

\u56e0\u679c\u4e4b\u7bad\u6307\u5411\u4f55\u65b9\uff1f| \u56fe\u7075\u5956\u5f97\u4e3b\u73c0\u5c14\u7684\u300a\u4e3a\u4ec0\u4e48\u300b<\/span><\/strong><\/a><\/p>\n

\u6d1e\u5bdf\u8c1c\u9898 : \u7528\u7b80\u5355\u7684\u6570\u5b66\u6a21\u578b\u63a2\u7d22\u590d\u6742\u7684\u56e0\u679c\u5173\u7cfb<\/span><\/strong><\/a><\/p>\n

\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/span><\/strong><\/a><\/p>\n

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\"\u96c6\u667a\"<\/p>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

\u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org<\/span><\/strong><\/p>\n

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\u25c6<\/span>\u25c6<\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

\u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n

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\u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

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\"\u96c6\u667a\"<\/p>\n<\/section>\n

\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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\u539f\u6587\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff08\u96c6\u667a\u4ff1\u4e50\u90e8\uff09\uff1a\u96c6\u667a<\/a><\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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