{"id":50200,"date":"2024-05-09T21:24:38","date_gmt":"2024-05-09T13:24:38","guid":{"rendered":"https:\/\/swarma.org\/?p=50200"},"modified":"2024-05-09T21:24:38","modified_gmt":"2024-05-09T13:24:38","slug":"%e5%9f%ba%e4%ba%8edo%e6%93%8d%e4%bd%9c%e7%9a%84%e4%bf%a1%e6%81%af%e5%88%86%e8%a7%a3%e5%ae%9a%e9%87%8f%e5%8c%96%ef%bd%9c%e5%91%a8%e4%ba%94%e7%9b%b4%e6%92%ad%c2%b7%e5%9b%a0%e6%9e%9c%e6%b6%8c%e7%8e%b0","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=50200","title":{"rendered":"\u57fa\u4e8edo\u64cd\u4f5c\u7684\u4fe1\u606f\u5206\u89e3\u5b9a\u91cf\u5316\uff5c\u5468\u4e94\u76f4\u64ad\u00b7\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u4e94\u5b63"},"content":{"rendered":"
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\u90e8\u5206\u4fe1\u606f\u5206\u89e3 Partial Inforamtion Decomposition<\/span><\/span><\/p>\n

Do\u64cd\u4f5c Do-operation<\/span><\/p>\n

\u591a\u5143\uff08\u53d8\u91cf\uff09\u5206\u6790 Multivariate analysis<\/span><\/p>\n

\u4fe1\u9053\u6a21\u578b Information Channel<\/span><\/section>\n


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[1] Lyu, A., Clark, A., & Raviv, N. (2024). Explicit Formula for Partial Information Decomposition. arXiv preprint arXiv:2402.03554<\/em>.<\/span><\/p>\n

[2] Williams, P. L., & Beer, R. D. (2010). Nonnegative decomposition of multivariate information. arXiv preprint arXiv:1004.2515<\/em>.<\/span><\/section>\n


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\u96c6\u667a\u6591\u56fe\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/pattern.swarma.org\/user\/74882<\/span><\/section>\n

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\u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/study_group_issue\/646<\/span><\/section>\n

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<\/span><\/section>\n
<\/span><\/a><\/section>\n

<\/section>\n
\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u835f\u8403\u590d\u6742\u7cfb\u7edf\u524d\u6cbf\u8fdb\u5c55\uff0c\u96c6\u7ed3\u56e0\u679c\u6d8c\u73b0\u5b66\u672f\u793e\u533a\uff1a\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u4e94\u5b63\u542f\u52a8<\/span><\/a>
<\/section>\n


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


<\/p>\n

\n
\n
\n
\n
\n

\u56e0\u679c\u6d8c\u73b0\u793e\u533a<\/strong>
<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/section>\n

\u8de8\u5c3a\u5ea6\u3001\u8de8\u5c42\u6b21\u7684\u6d8c\u73b0\u662f\u590d\u6742\u7cfb\u7edf\u7814\u7a76\u7684\u5173\u952e\u95ee\u9898\uff0c\u751f\u547d\u8d77\u6e90\u548c\u610f\u8bc6\u8d77\u6e90\u8fd9\u4e24\u5ea7\u4ef0\u4e4b\u5f25\u9ad8\u7684\u5927\u5c71\u662f\u5176\u4ee3\u8868\u3002\u800c\u56e0\u679c\u6d8c\u73b0\u7406\u8bba\u3001\u673a\u5668\u5b66\u4e60\u91cd\u6574\u5316\u6280\u672f\u3001\u4fe1\u606f\u8bba\u6216\u4fe1\u606f\u5206\u89e3\u7b49\u8fd1\u5e74\u6765\u65b0\u5174\u7684\u7406\u8bba\u4e0e\u5de5\u5177\uff0c\u6709\u671b\u7834\u89e3\u590d\u6742\u7cfb\u7edf\u7684\u6d8c\u73b0\u89c4\u5f8b\u3002\u800c\u65b0\u5174\u7684\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u3001\u91cf\u5b50\u56e0\u679c\u7b49\u9886\u57df\u4e5f\u5c06\u4e3a\u56e0\u679c\u6d8c\u73b0\u7814\u7a76\u6ce8\u5165\u65b0\u9c9c\u8840\u6db2\u3002<\/span><\/p>\n


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

\u96c6\u667a\u4ff1\u4e50\u90e8\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u76ee\u524d\u5df2\u7ecf\u8fdb\u884c\u4e86\u56db\u5b63\u3002<\/span>\u7b2c\u4e00\u5b63\u8bfb\u4e66\u4f1a\u7cfb\u7edf\u5730\u68b3\u7406\u4e86\u56e0\u679c\u6d8c\u73b0\u7684\u6982\u5ff5\uff0c\u4ee5\u53ca\u5b83\u4e0eSloopy Model\u3001\u590d\u6742\u6027\u9608\u503c\u3001\u81ea\u6307\u7b49\u6982\u5ff5\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u4e5f\u63a2\u8ba8\u4e86\u56e0\u679c\u6d8c\u73b0\u7406\u8bba\u5728\u590d\u6742\u7f51\u7edc\u3001\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u5e94\u7528\u3002<\/span>\u53c2\u770b\uff1a<\/span>\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u8fde\u63a5\u56e0\u679c\u3001\u6d8c\u73b0\u4e0e\u81ea\u6307\u2014\u2014\u8de8\u5c3a\u5ea6\u52a8\u529b\u5b66\u4e0e\u56e0\u679c\u89c4\u5f8b\u7684\u63a2\u7d22<\/a>\u3002<\/span><\/p>\n


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

\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u63a2\u8ba8\u4e86\u6d8c\u73b0\u3001\u56e0\u679c\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u4e09\u5927\u4e3b\u9898\u7684\u878d\u5408\uff0c\u5305\u62ec\u4fe1\u606f\u8bba\u62d3\u5c55\u3001\u56e0\u679c\u6d8c\u73b0\u7406\u8bba\u3001\u56e0\u679c\u8868\u793a\u5b66\u4e60\u3001\u591a\u5c3a\u5ea6\u673a\u5668\u5b66\u4e60\u52a8\u529b\u5b66\u5efa\u6a21\u3002<\/span>\u8bf7\u53c2\u770b\uff1a<\/span>\u56e0\u679c\u3001\u6d8c\u73b0\u4e0e\u673a\u5668\u5b66\u4e60\uff1a\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u4e8c\u5b63\u542f\u52a8<\/a>\u3002<\/span><\/p>\n


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

\u7b2c\u4e09\u5b63\u8bfb\u4e66\u4f1a\u8fdb\u4e00\u6b65\u56f4\u7ed5\u56e0\u679c\u6d8c\u73b0\u7684\u6838\u5fc3\u95ee\u9898\u300c\u56e0\u679c\u6d8c\u73b0\u7684\u5b9a\u4e49\u300d\u4ee5\u53ca\u300c\u56e0\u679c\u6d8c\u73b0\u7684\u8fa8\u8bc6\u300d\u8fdb\u884c\u6df1\u5165\u5b66\u4e60\u548c\u8ba8\u8bba\uff0c\u5bf9 Erik Hoel \u63d0\u51fa\u7684 Causal Emergence\uff0cCausal Geometry \u7b49\u56e0\u679c\u6d8c\u73b0\u7684\u6838\u5fc3\u7406\u8bba\u8fdb\u884c\u63a2\u8ba8\u548c\u5256\u6790\uff0c\u5e76\u8be6\u7ec6\u68b3\u7406\u5176\u4e2d\u6d89\u53ca\u5230\u7684\u65b9\u6cd5\u8bba\uff0c\u5305\u62ec\u4ece\u52a8\u529b\u5b66\u7ea6\u7b80\u3001\u9690\u7a7a\u95f4\u52a8\u529b\u5b66\u5b66\u4e60\u7b49\u5176\u4ed6\u9886\u57df\u4e2d\u5b66\u4e60\u548c\u501f\u9274\u76f8\u5173\u7684\u7814\u7a76\u601d\u8def\uff0c\u6700\u540e\u63a2\u8ba8\u56e0\u679c\u6d8c\u73b0\u7684\u5e94\u7528\uff0c\u5305\u62ec\u57fa\u4e8e\u751f\u7269\u7f51\u7edc\u3001\u8111\u7f51\u7edc\u6216\u8005\u6d8c\u73b0\u63a2\u6d4b\u7b49\u95ee\u9898\u5c55\u5f00\u6269\u5c55\uff0c\u53d1\u6398\u66f4\u591a\u7684\u5b9e\u9645\u5e94\u7528\u573a\u666f\u3002<\/span>\u8bf7\u53c2\u770b\uff1a<\/span>\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63\u542f\u52a8\uff1a\u6df1\u5165\u591a\u5c3a\u5ea6\u590d\u6742\u7cfb\u7edf\u6838\u5fc3\uff0c\u63a2\u7d22\u56e0\u679c\u6d8c\u73b0\u7406\u8bba\u5e94\u7528<\/a>\u3002<\/span><\/p>\n


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

\u7b2c\u56db\u5b63\u8bfb\u4e66\u4f1a\u4e3b\u9898\u662f\u300c\u65b0\u4fe1\u606f\u8bba\uff1a<\/span>\u4ece\u5206\u89e3\u5230\u6574\u5408\u300d\uff0c\u65e8\u5728\u7cfb\u7edf\u68b3\u7406\u4fe1\u606f\u8bba\u9886\u57df\u7684\u53d1\u5c55\u8109\u7edc\uff0c\u4ece\u4fe1\u606f\u71b5\u7684\u6982\u5ff5\u5f00\u59cb\uff0c\u9010\u6b65\u68b3\u7406\u5404\u79cd\u4fe1\u606f\u6d4b\u5ea6\u7684\u610f\u4e49\u53ca\u5176\u95f4\u7684\u8054\u7cfb\uff0c\u6df1\u5165\u7406\u89e3\u4fe1\u606f\u6574\u5408\u4e0e\u4fe1\u606f\u5206\u89e3\u7684\u672c\u8d28\uff0c\u4e3a\u8de8\u5b66\u79d1\u5e94\u7528\u505a\u597d\u51c6\u5907\u3002<\/span>\u8bf7\u53c2\u770b\uff1a<\/span>\u65b0\u4fe1\u606f\u8bba\uff1a\u4ece\u5206\u89e3\u5230\u6574\u5408\uff5c\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u56db\u5b63\u542f\u52a8<\/a>\u3002<\/span><\/p>\n


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

\u56e0\u679c\u6d8c\u73b0\u793e\u533a\u805a\u96c6\u4e86600+\u6210\u5458\uff0c\u79ef\u7d2f\u4e86\u5927\u91cf\u8bba\u6587\u89e3\u8bfb\u8d44\u6599\u3002<\/span>\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\uff0c\u52a0\u5165\u56e0\u679c\u6d8c\u73b0\u793e\u533a\uff0c\u89e3\u9501\u5bf9\u5e94\u5f55<\/span>\u64ad\u6743\u9650\u3002<\/span><\/p>\n


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

\u56e0\u679c\u6d8c\u73b0\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u653e\u89c6\u9891<\/span><\/p>\n

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

\u7b2c\u4e00\u5b63\uff1ahttps:\/\/pattern.swarma.org\/study_group\/7<\/span><\/section>\n
\u7b2c\u4e8c\u5b63\uff1ahttps:\/\/pattern.swarma.org\/study_group\/16<\/span><\/section>\n
\u7b2c\u4e09\u5b63\uff1ahttps:\/\/pattern.swarma.org\/study_group\/28<\/span><\/section>\n
\u7b2c\u56db\u5b63\uff1ahttps:\/\/pattern.swarma.org\/study_group\/35<\/span><\/section>\n
\u7b2c\u4e94\u5b63\uff1ahttps:\/\/pattern.swarma.org\/study_group\/43<\/span><\/section>\n

<\/section>\n
\u56e0\u679c\u6d8c\u73b0\u793e\u533a\u5171\u521b\uff0c\u56e0\u679c\u6d8c\u73b0\u4e3b\u9898<\/a>\u6587\u7ae0<\/span><\/section>\n
<\/span><\/section>\n
<\/section>\n


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


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

\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/p>\n

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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