{"id":47014,"date":"2023-12-08T16:44:04","date_gmt":"2023-12-08T08:44:04","guid":{"rendered":"https:\/\/swarma.org\/?p=47014"},"modified":"2023-12-08T16:44:04","modified_gmt":"2023-12-08T08:44:04","slug":"%e5%a6%82%e4%bd%95%e8%ae%a9%e6%9c%ba%e5%99%a8%e8%af%86%e5%88%ab%e6%b6%8c%e7%8e%b0%ef%bc%9f%e5%9f%ba%e4%ba%8e%e6%95%b0%e6%8d%ae%e9%a9%b1%e5%8a%a8%e7%9a%84%e5%a4%9a%e5%b0%ba%e5%ba%a6%e5%9b%a0%e6%9e%9c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=47014","title":{"rendered":"\u5982\u4f55\u8ba9\u673a\u5668\u8bc6\u522b\u6d8c\u73b0\uff1f\u57fa\u4e8e\u6570\u636e\u9a71\u52a8\u7684\u591a\u5c3a\u5ea6\u56e0\u679c\u6d8c\u73b0\u6846\u67b6\uff5c\u5468\u65e5\u76f4\u64ad\u00b7\u56e0\u679c\u6d8c\u73b0\u8bfb\u4e66\u4f1a\u7b2c\u4e09\u5b63"},"content":{"rendered":"
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Hoel, E. P., Albantakis, L., & Tononi, G. (2013). Quantifying causal emergence shows that macro can beat micro. Proceedings of the National Academy of Sciences<\/em>, 110<\/em>(49), 19790\u201319795.<\/span><\/section>\n<\/blockquote>\n

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\u5982\u4e0a\u56fe\u6240\u793a\uff0c\u591a\u5c3a\u5ea6\u56e0\u679c\u6d8c\u73b0\u6846\u67b6\u4e00\u5f00\u59cb\u5b9a\u4e49\u5728\u9a6c\u5c14\u79d1\u592b\u52a8\u529b\u5b66\u7cfb\u7edf\u4e0a\u3002\u7ed9\u5b9a\u4e00\u4e2a\u9a6c\u5c14\u79d1\u592b\u8f6c\u79fb\u77e9\u9635\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba1\u7b97\u5176\u6709\u6548\u4fe1\u606f\u5927\u5c0f\uff0c\u7136\u540e\u6bd4\u8f83\u4e0d\u540c\u5c3a\u5ea6\u4e0a\u52a8\u529b\u5b66\u7684\u6709\u6548\u4fe1\u606f\u3002\u4e0d\u96be\u53d1\u73b0\uff0c\u63a5\u8fd1\u4e8e\u4e00\u4e00\u5bf9\u5e94\u7684\u53ef\u9006\u6620\u5c04\u7684\u9a6c\u5c14\u79d1\u592b\u8f6c\u79fb\u77e9\u9635\uff0c\u4f1a\u6709\u66f4\u9ad8\u7684EI\u503c<\/strong>\uff0c\u8fd9\u4e00\u70b9\u548c\u6211\u4eec\u7684\u76f4\u89c9\u662f\u76f8\u7b26\u7684\u3002\u4e0d\u8fc7\u6211\u4eec\u9762\u4e34\u7684\u5f88\u591a\u95ee\u9898\u53ef\u4e0d\u662f\u7b80\u5355\u7684\u79bb\u6563\u9a6c\u5c14\u79d1\u592b\u7cfb\u7edf\uff0c\u800c\u5f88\u6709\u53ef\u80fd\u5c31\u662f\u8fde\u7eed\u7684\u52a8\u529b\u5b66\u3002\u53e6\u5916\uff0c\u8fd9\u4e2a\u7c97\u7c92\u5316\u7b56\u7565\u5230\u5e95\u662f\u600e\u6837\u5236\u5b9a\u7684\uff1f\u5b83\u771f\u7684\u53d1\u6398\u51fa\u6700\u6709\u4ef7\u503c\u7684\u89c2\u5bdf\u5c3a\u5ea6\u4e86\u5417\uff1f\u8fd9\u5b9e\u9645\u4e0a\u9700\u8981\u6211\u4eec\u4e00\u65b9\u9762\u628a\u8be5\u6846\u67b6\u5ef6\u62d3\u5230\u66f4\u591a\u7c7b\u578b\u7684\u52a8\u529b\u5b66\u4e0a\uff0c\u53e6\u4e00\u65b9\u9762\u6211\u4eec\u9700\u8981\u89e3\u51b3\u4e00\u4e2a\u4f18\u5316\u95ee\u9898\uff0c\u5373\u5982\u4f55\u627e\u5230\u4e00\u4e2a\u6700\u5408\u9002\u7684\u7c97\u7c92\u5316\u7b56\u7565\u548c\u76f8\u5e94\u7684\u5b8f\u89c2\u52a8\u529b\u5b66\u3002\u800c\u4e14\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u6ca1\u4eba\u544a\u8bc9\u6211\u4eec\u4e00\u4e2a\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u65b9\u7a0b\u8be5\u600e\u4e48\u5199\uff0c\u800c\u662f\u4e00\u4e2a\u6570\u636e\u9a71\u52a8\u7684\u4efb\u52a1\u3002\u4e8e\u662f\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u7ed3\u5408\u5c31\u662f\u975e\u5e38\u5fc5\u8981\u7684\u4e86\u3002<\/span><\/section>\n

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3. \u8bc6\u522b\u56e0\u679c\u6d8c\u73b0\uff1a\u4eceNIS\u5230NIS+<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u76ee\u524d\u5df2\u7ecf\u6709\u5de5\u4f5c\u5728\u5c1d\u8bd5\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u5178\u578b\u5c31\u662f\u795e\u7ecf\u4fe1\u606f\u538b\u7f29\u5668<\/strong><\/span>\uff08Neural information squeezer\uff0cNIS\uff09<\/span>\uff0c\u8bfb\u8005<\/span>\u53ef\u4ee5\u53c2\u8003<\/span>\u300a\u4ec0\u4e48\u662f\u6d8c\u73b0\uff1f\u4eba\u5de5\u667a\u80fd\u7ed9\u4f60\u7b54\u6848\u300b<\/span><\/a>\u6765\u4e86\u89e3\u8fd9\u4e00\u65b9\u6cd5\u3002\u4e0d\u8fc7NIS\u6ca1\u6709<\/span>\u771f\u6b63\u89e3\u51b3\u6700\u5927\u5316EI\u7684\u95ee\u9898\uff0c\u800c\u4e14\u53ea\u662f\u5728\u4e00\u4e9b\u8f7b\u91cf\u7ea7\u7684\u6a21\u578b\u4e0a\u9a8c\u8bc1\u4e86\u8fd9\u4e00\u60f3\u6cd5\u3002<\/span><\/section>\n

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NIS \u5de5\u4f5c\uff1aZhang, J., & Liu, K. (2022). Neural Information Squeezer for Causal Emergence. Entropy<\/em>, 25<\/em>(1), 26.<\/span><\/section>\n<\/blockquote>\n

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\u672c\u671f\u8bfb\u4e66\u4f1a\u4e3b\u8981\u4ecb\u7ecd\u7684\u662f\u53e6\u4e00\u4e2a\u65b0\u5de5\u4f5c\uff0cNIS+\uff0c\u4ece\u540d\u5b57\u4e0a\u5f88\u5bb9\u6613\u770b\u51fa\u5b83\u662f\u5bf9NIS\u7684\u7ee7\u627f\u548c\u4fee\u6b63\u3002\u4e0d\u8fc7\u5b83\u5e76\u4e0d\u662f\u8c03\u51e0\u4e2a\u53c2\u6570\u8fd9\u4e48\u7b80\u5355\uff0c\u800c\u662f\u771f\u6b63\u89e3\u51b3\u4e86\u6700\u5927\u5316EI\u7684\u91cd\u8981\u95ee\u9898\uff0c\u540c\u65f6\u5c06\u6846\u67b6\u62d3\u5c55\u5230\u66f4\u591a\u7684\u7ecf\u5178\u590d\u6742\u7cfb\u7edf\u4e0a\uff0c\u751a\u81f3\u4e5f\u5e94\u7528\u5728\u4e86\u771f\u5b9e\u7684\u6838\u78c1\u5171\u632f\u8111\u6570\u636e\u4e0a\uff0c\u5f97\u5230\u4e00\u4e9b\u6709\u610f\u601d\u7684\u9a8c\u8bc1\u7ed3\u679c<\/strong>\u3002\u76f8\u5e94\u5730\uff0c\u6211\u4eec\u4e5f\u5728\u6570\u5b66\u4e0a\u8bc1\u660e\u4e86\u8be5\u6846\u67b6\u80fd\u591f\u6700\u5927\u5316EI\u3002<\/span><\/section>\n

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NIS+ \u5de5\u4f5c<\/span><\/section>\n
\u8bba\u6587\u9898\u76ee\uff1aFinding emergence in data by  maximizing effective information<\/span><\/section>\n
\u4f5c\u8005\uff1a\u6768\u660e\u54f2\uff0c\u738b\u5fd7\u9e4f\uff0c\u5218\u51ef\u5a01\uff0c\u8363\u82f1\u6dc7\uff0c\u8881\u51b0\uff0c\u5f20\u6c5f<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/abs\/2308.09952<\/span><\/section>\n<\/blockquote>\n

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\u56fe3. NIS+\u6846\u67b6\u7684\u6982\u89c8\uff0c\u8f93\u5165\u5404\u79cd\u591a\u5143\u65f6\u95f4\u5e8f\u5217\uff0c\u53ef\u4ee5\u8f93\u51fa\u4e0d\u540c\u5c3a\u5ea6EI\u7684\u6bd4\u8f83\u7ed3\u679c\uff0c\u6700\u4f73\u7c97\u7c92\u5316\u7b56\u7565\u548c\u6d8c\u73b0\u7684\u5b8f\u89c2\u52a8\u529b\u5b66\u7b49\u3002<\/span><\/p>\n


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\u6570\u5b66\u7ec6\u8282\u8fd9\u91cc\u4e0d\u591a\u5c55\u5f00\uff0c\u6211\u4eec\u5c31\u4ece\u76f4\u89c9\u4e0a\u6765\u7406\u89e3\u4e3a\u4ec0\u4e48\u6539\u9020\u540e\u7684NIS+\u53ef\u4ee5\u6700\u5927\u5316EI\u3002\u56de\u5230\u524d\u9762\u6240\u8bb2\u8ff0\u7684\u786e\u5b9a\u6027\u548c\u7b80\u5e76\u6027\uff0c\u901a\u5e38\u673a\u5668\u5b66\u4e60\u52a8\u529b\u5b66\u90fd\u5728\u4ecet\u65f6\u523b\u53bb\u9884\u6d4bt+1\u65f6\u523b\uff0c\u8fd9\u5b9e\u9645\u4e0a\u662f\u5728\u6ce8\u91cd\u786e\u5b9a\u6027<\/strong>\uff0c\u800cNIS+\u8fd8\u8981\u8bad\u7ec3\u4e00\u4e2a\u53cd\u5411\u52a8\u529b\u5b66\uff0c\u4ecet+1\u65f6\u523b\u56de\u6eaf\u53bb\u9884\u6d4bt\u65f6\u523b\u7684\u53d8\u91cf\u72b6\u6001\u3002\u5982\u679c\u8fd9\u79cd\u53cd\u5411\u52a8\u529b\u5b66\u53ef\u4ee5\u9884\u6d4b\u7684\u5f88\u597d\uff0c\u8bf4\u660e\u7f16\u7801\u5668\u5f97\u5230\u7684\u5b8f\u89c2\u53d8\u91cf\u9002\u5408\u4f4e\u7b80\u5e76<\/strong>\u6027<\/strong>\u7684\u52a8\u529b\u5b66\u6f14\u5316\uff0c\u4ece\u800c\u8fdb\u4e00\u6b65\u5f71\u54cd\u52a8\u529b\u5b66\u7684\u5b66\u4e60\u3002\u5982\u679c\u5f97\u5230\u7684\u5b8f\u89c2\u52a8\u529b\u5b66\u786e\u5b9a\u6027\u9ad8\uff0c\u7b80\u5e76\u6027\u4f4e\uff0c\u4fbf\u662f\u4e00\u4e2aEI\u5f88\u9ad8\u7684\u52a8\u529b\u5b66\u3002NIS+\u8fd8\u6709\u4e00\u4e2a\u6837\u672c\u91cd\u52a0\u6743\u7684\u64cd\u4f5c\uff0c\u548cEI\u8981\u6c42\u8f93\u5165\u88ab\u5e72\u9884\u4e3a\u5747\u5300\u5206\u5e03\u76f8\u5173\u3002<\/span><\/section>\n

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\u6700\u5927\u5316EI\u786e\u5b9e\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u5417\uff1f\u6b63\u5982\u5728\u6587\u7ae0\u5f00\u5934\u6211\u4eec\u6240\u63d0\u5230\u7684\uff0c\u8bc6\u522b\u6d8c\u73b0\u7406\u5e94\u5e2e\u52a9\u6211\u4eec\u5177\u6709\u66f4\u597d\u5730\u6cdb\u5316\u9884\u6d4b\u80fd\u529b\u3002\u5728\u8fd9\u7bc7\u6587\u7ae0\u7684\u5b9e\u9a8c\u4e0a\uff0c\u6211\u4eec\u5728toy model\u4e0a\uff0c\u4ee5\u53ca\u5728\u9e1f\u7fa4\u548c\u751f\u547d\u6e38\u620f\u8fd9\u7c7b\u7ecf\u5178\u7684\u8ba1\u7b97\u673a\u6a21\u62df\u7684\u590d\u6742\u7cfb\u7edf\u4e0a\u90fd\u9a8c\u8bc1\u4e86NIS+\u5177\u6709\u66f4\u597d\u7684\u6cdb\u5316\u9884\u6d4b\u80fd\u529b\u3002<\/span><\/section>\n

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