{"id":37147,"date":"2022-09-09T20:49:29","date_gmt":"2022-09-09T12:49:29","guid":{"rendered":"https:\/\/swarma.org\/?p=37147"},"modified":"2022-09-09T20:49:29","modified_gmt":"2022-09-09T12:49:29","slug":"%e6%80%8e%e6%a0%b7%e8%bf%91%e4%bc%bc%e6%8a%bd%e8%b1%a1%e5%92%8c%e5%ba%a6%e9%87%8f%e5%a4%8d%e6%9d%82%e7%b3%bb%e7%bb%9f%ef%bc%9f-%e5%91%a8%e6%97%a5%e7%9b%b4%e6%92%ad%c2%b7%e5%9b%a0%e6%9e%9c%e6%b6%8c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=37147","title":{"rendered":"\u600e\u6837\u8fd1\u4f3c\u62bd\u8c61\u548c\u5ea6\u91cf\u590d\u6742\u7cfb\u7edf\uff1f| \u5468\u65e5\u76f4\u64ad\u00b7\u56e0\u679c\u6d8c\u73b0\u00d7\u56e0\u679c\u79d1\u5b66"},"content":{"rendered":"
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\u672c\u6b21\u5206\u4eab\u662f\u4e0e\u56e0\u679c\u79d1\u5b66\u4e0eCausal AI\u8bfb\u4e66\u4f1a\u8054\u52a8\u7684\u7b2c\u4e09\u5f39\uff0c\u5bf9\u6587\u7ae0\u300aApproximate Causal Abstraction\u300b\u8fdb\u884c\u89e3\u8bfb\u3002\u5728\u4e0a\u6b21\u5206\u4eab\u7684\u300aAbstracting Causal Models\u300b\u4e2d\uff0c\u7ed9\u51fa\u4e86\u9650\u5236\u6027\u66f4\u5f3a\u7684\u62bd\u8c61\uff08abstraction\uff09\u8fd9\u4e00\u6982\u5ff5\uff0c\u6392\u9664\u4e86\u5f88\u591a\u867d\u7136\u6ee1\u8db3\u7cbe\u786e\u8f6c\u6362\u5b9a\u4e49\u4f46\u5176\u5b9e\u5e76\u4e0d\u201c\u597d\u201d\u7684\u7c97\u7c92\u5316\u3002\u672c\u6b21\u5206\u4eab\u5c06\u5728\u62bd\u8c61\u8fd9\u4e00\u6982\u5ff5\u4e0a\u66f4\u6df1\u5165\u4e00\u5c42\uff0c\u53c8\u653e\u5bbd\u4e86\u4e00\u4e9b\u9650\u5236\uff0c\u7ed9\u51fa\u8fd1\u4f3c\u62bd\u8c61\uff08approximate abstraction\uff09\u7684\u6982\u5ff5\uff0c\u540c\u65f6\u5ea6\u91cf\u4e86\u6211\u4eec\u5728\u7cbe\u786e\u6027\u4e0a\u7684\u635f\u5931\u5230\u5e95\u6709\u591a\u5927\uff0c\u4f7f\u5f97\u591a\u5c3a\u5ea6\u56e0\u679c\u6a21\u578b\u7684\u6570\u5b66\u6846\u67b6\u80fd\u591f\u771f\u6b63\u843d\u5730\u5230\u5b9e\u9645\u5e94\u7528\u4e2d\u3002<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n


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1.\u6982\u8ff0\uff1a\u4ece\u7cbe\u786e\u8f6c\u6362\u5230\u8fd1\u4f3c\u62bd\u8c61    Overview: Moving from exact to approximate abstraction<\/span><\/p>\n

2.\u62bd\u8c61\u7684\u9650\u5236\u6761\u4ef6   Abstract constraints<\/span><\/p>\n

3.\u8fd1\u4f3c\u62bd\u8c61\u53ca\u76f8\u5173\u5b9a\u4e49   Approximate abstraction and related definitions<\/span><\/section>\n

3.1\u8ddd\u79bb\u51fd\u6570   distance function<\/span><\/p>\n

3.2\u8fd1\u4f3c  approximate<\/span><\/p>\n

3.3\u8fd1\u4f3c\u62bd\u8c61  approximate abstraction<\/span><\/p>\n

3.4\u6982\u7387\u56e0\u679c\u6a21\u578b\u4e0a\u7684\u8fd1\u4f3c\u62bd\u8c61   Approximate abstraction on probabilistic causal models<\/span><\/section>\n

4.\u8fd1\u4f3c\u62bd\u8c61\u7684\u62c6\u89e3  Almost abstract disassembly<\/span><\/p>\n

5.\u8ba8\u8bba\u548c\u603b\u7ed3   Discuss and summarize<\/span><\/section>\n

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\u5e72\u9884 Intervention<\/span><\/p>\n

\u6ee1\u5c04 Surjection<\/span><\/p>\n

\u8ddd\u79bb\u51fd\u6570 Distance Function<\/span><\/p>\n

\u6982\u7387\u56e0\u679c\u6a21\u578b Probabilistic Causal Models<\/span><\/section>\n


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[1] Beckers, S. ,  F. Eberhardt , and  J. Y. Halpern . “Approximate Causal Abstraction.” (2019).<\/span><\/section>\n

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