{"id":48917,"date":"2024-03-15T16:43:40","date_gmt":"2024-03-15T08:43:40","guid":{"rendered":"https:\/\/swarma.org\/?p=48917"},"modified":"2024-03-15T16:43:40","modified_gmt":"2024-03-15T08:43:40","slug":"%e8%87%aa%e7%94%b1%e8%83%bd%e5%8e%9f%e7%90%86%e5%9f%ba%e7%a1%80%ef%bc%9a%e4%bb%8e%e2%bb%89%e5%8f%b6%e6%96%af%e5%ae%9a%e7%90%86%e5%88%b0%e4%b8%bb%e5%8a%a8%e6%8e%a8%e7%90%86%ef%bd%9c%e8%87%aa%e7%94%b1","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=48917","title":{"rendered":"\u81ea\u7531\u80fd\u539f\u7406\u57fa\u7840\uff1a\u4ece\u2ec9\u53f6\u65af\u5b9a\u7406\u5230\u4e3b\u52a8\u63a8\u7406\uff5c\u81ea\u7531\u80fd\u539f\u7406\u4e0e\u5f3a\u5316\u5b66\u4e60\u8bfb\u4e66\u4f1a\u00b7\u5468\u65e5\u76f4\u64ad"},"content":{"rendered":"
\n
\n
\n
\n

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

\n
\n
\n
\n
\n
\n

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

\u5bfc\u8bed<\/strong><\/p>\n<\/section>\n<\/section>\n

\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
\n
\u81ea\u7531\u80fd\u539f\u7406\u88ab\u8ba4\u4e3a\u662f\u201c\u81ea\u8fbe\u5c14\u6587\u81ea\u7136\u9009\u62e9\u7406\u8bba\u540e\u6700\u5305\u7f57\u4e07\u8c61\u7684\u601d\u60f3\u201d\uff0c\u5b83\u8bd5\u56fe\u4ece\u7269\u7406\u3001\u751f\u7269\u548c\u5fc3\u667a\u7684\u89d2\u5ea6\u63d0\u4f9b\u667a\u80fd\u4f53\u611f\u77e5\u548c\u884c\u52a8\u7684\u7edf\u4e00\u6027\u539f\u7406\uff0c\u5374\u4e5f\u4ee5\u7406\u8bba\u7684\u8270\u6df1\u6666\u6da9\u8457\u79f0\u3002\u6b64\u6b21\u300c\u81ea\u7531\u80fd\u539f\u7406\u4e0e\u5f3a\u5316\u5b66\u4e60\u8bfb\u4e66\u4f1a<\/a>\u300d<\/span><\/strong>\u7b2c\u4e8c\u671f\u5c06\u5728\u7b2c\u4e00\u671f\u81ea\u7531\u80fd\u539f\u7406\u7684\u6982\u89c8\u4ecb\u7ecd\u4e4b\u540e\uff0c\u4ece\u6982\u7387\u8bba\u7684\u57fa\u7840\u7406\u8bba\u51fa\u53d1\uff0c\u5bf9\u81ea\u7531\u80fd\u539f\u7406\u4e3b\u52a8\u63a8\u7406\u8fdb\u884c\u8be6\u7ec6\u63a8\u5bfc\u3002\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u548c\u6211\u4eec\u4e00\u8d77\u63a2\u7d22\uff01<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/section>\n
<\/mp-common-videosnap><\/strong><\/section>\n
<\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
<\/section>\n<\/section>\n

<\/h2>\n

<\/section>\n

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


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

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u5185\u5bb9\u7b80\u4ecb<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/p>\n

<\/h2>\n
\u4e3b\u52a8\u63a8\u7406\uff08Active Inference\uff09\uff0c\u53ca\u5176\u6700\u8fd1\u5728\u90e8\u5206\u53ef\u89c2\u5bdf\u7684\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\uff08POMDPs\uff09\u4e2d\u7684\u5e94\u7528\uff0c\u4e3a\u5efa\u6a21\u611f\u77e5\u3001\u5b66\u4e60\u548c\u51b3\u7b56\u63d0\u4f9b\u4e86\u7edf\u4e00\u7684\u6570\u5b66\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u5c06\u8fd9\u4e9b\u5fc3\u7406\u8fc7\u7a0b\u53ca\u5176\u76f8\u4e92\u4f5c\u7528\u89c6\u4e3a\u76f8\u4e92\u4f9d\u8d56\u7684\u63a8\u65ad\u5f62\u5f0f\u3002\u5728\u4e3b\u52a8\u63a8\u7406\u4e2d\uff0c\u51b3\u7b56\u667a\u80fd\u4f53\u901a\u8fc7\u5c06\u5148\u9a8c\u4fe1\u5ff5\u4e0e\u611f\u89c9\u8f93\u5165\u7ed3\u5408\u8d77\u6765\uff0c\u63a8\u65ad\u73af\u5883\u4e2d\u4e0d\u540c\u5916\u90e8\u72b6\u6001\u548c\u4e8b\u4ef6\u7684\u6982\u7387\uff0c\u5305\u62ec\u5b83\u4eec\u81ea\u5df1\u7684\u884c\u52a8\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4e0d\u540c\u4e8e\u201c\u88ab\u52a8\u201d\u7684\u611f\u77e5\u63a8\u65ad\u8fc7\u7a0b\uff08\u4f8b\u5982\uff0c\u6839\u636e\u5149\u7ebf\u6a21\u5f0f\u5bf9\u89c6\u7f51\u819c\u7684\u5f71\u54cd\u6765\u63a8\u65ad\u5916\u90e8\u7269\u4f53\u7684\u5b58\u5728\uff09\uff0c\u51b3\u7b56\u80cc\u540e\u7684\u63a8\u65ad\u662f\u201c\u4e3b\u52a8\u7684\u201d\uff0c\u5373\u667a\u80fd\u4f53\u901a\u8fc7\u63a8\u65ad\u5f97\u51fa\u6700\u53ef\u80fd\u4ea7\u751f\u504f\u597d\u611f\u89c9\u8f93\u5165\u7684\u884c\u52a8\uff08\u4f8b\u5982\uff0c\u63a8\u65ad\u5403\u4e00\u4e9b\u98df\u7269\u4f1a\u51cf\u8f7b\u9965\u997f\u611f\uff09\u3002\u667a\u80fd\u4f53\u8fd8\u901a\u8fc7\u63a8\u65ad\u5f97\u51fa\u6700\u6709\u53ef\u80fd\u51cf\u5c11\u4e0d\u786e\u5b9a\u6027\u5e76\u4fc3\u8fdb\u5b66\u4e60\u7684\u884c\u4e3a\uff08\u4f8b\u5982\uff0c\u63a8\u65ad\u6253\u5f00\u51b0\u7bb1\u5c06\u663e\u793a\u53ef\u7528\u7684\u98df\u7269\u9009\u9879\uff09\u3002\u8fd9\u5bfc\u81f4\u51b3\u7b56\u884c\u4e3a\u5728\u6700\u5927\u5316\u5956\u52b1\u548c\u4fe1\u606f\u589e\u76ca\u4e4b\u95f4\u8fdb\u884c\u6743\u8861<\/strong>\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4e3b\u52a8\u63a8\u7406\u9884\u6d4b\u7684\u611f\u77e5\u548c\u884c\u52a8\u6a21\u5f0f\u4e0e\u7ecf\u9a8c\u89c2\u5bdf\u5230\u7684\u6a21\u5f0f\u975e\u5e38\u5339\u914d\u3002\u4e0e\u4e3b\u52a8\u63a8\u7406\u76f8\u5173\u7684\u795e\u7ecf\u8fc7\u7a0b\u7406\u8bba\u8fd8\u6210\u529f\u5730\u5728\u591a\u4e2a\u7814\u7a76\u8303\u5f0f\u4e2d\u518d\u73b0\u4e86\u7ecf\u9a8c\u89c2\u5bdf\u5230\u7684\u795e\u7ecf\u53cd\u5e94\uff0c\u5e76\u4ea7\u751f\u4e86\u65b0\u9896\u7684\u3001\u53ef\u6d4b\u8bd5\u7684\u9884\u6d4b\u3002\u7531\u4e8e\u8fd9\u4e9b\u548c\u5176\u4ed6\u8003\u8651\u56e0\u7d20\uff0c\u8fd9\u4e2a\u6846\u67b6\u5728\u5fc3\u7406\u5b66\u3001\u795e\u7ecf\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u8fd1\u5e74\u6765\u65e5\u76ca\u5177\u6709\u5f71\u54cd\u529b\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u672c\u6b21\u8bfb\u4e66\u4f1a\u4ee5\u8bba\u6587\u300aA step-by-step tutorial on active inference and its application to empirical data\u300b\u4e3a\u57fa\u7840\uff0c\u4ece\u8d1d\u53f6\u65af\u5b9a\u7406\u51fa\u53d1\uff0c\u5f15\u5165\u53d8\u5206\u63a8\u65ad\u65b9\u6cd5\u8fdb\u884c\u8fd1\u4f3c\u8d1d\u53f6\u65af\u63a8\u65ad\uff0c\u5c06\u611f\u77e5\u5efa\u6a21\u4e3a\u6700\u5c0f\u5316\u53d8\u5206\u81ea\u7531\u80fd\u7684\u8fc7\u7a0b\uff0c\u5c06\u884c\u52a8\u5efa\u6a21\u4e3a\u6700\u5c0f\u5316\u671f\u671b\u81ea\u7531\u80fd\u7684\u8fc7\u7a0b<\/strong>\u3002\u4e4b\u540e\u9488\u5bf9\u90e8\u5206\u53ef\u89c2\u6d4b\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\u901a\u8fc7\u56e0\u5b50\u56fe\u5bf9\u5176\u8fdb\u884c\u8868\u793a\uff0c\u5e76\u901a\u8fc7\u6d88\u606f\u4f20\u64ad\u7b97\u6cd5\u5bf9\u4fe1\u5ff5\u8fdb\u884c\u66f4\u65b0\u3002\u6700\u540e\u7b80\u8981\u4ecb\u7ecd\u4e3b\u52a8\u63a8\u7406\u6846\u67b6\u5728\u795e\u7ecf\u8fc7\u7a0b\u7406\u8bba\u4e2d\u7684\u5bf9\u5e94\u4ee5\u53ca\u5206\u5c42\u90e8\u5206\u53ef\u89c2\u5bdf\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\u3002<\/span><\/section>\n

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

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

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u5185\u5bb9\u5927\u7eb2<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


<\/p>\n