

{"id":38848,"date":"2019-04-10T00:00:29","date_gmt":"2019-04-09T16:00:29","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=38848"},"modified":"2022-01-04T02:58:16","modified_gmt":"2022-01-03T18:58:16","slug":"ai%e4%b9%9f%e8%83%bd%e5%88%86%e8%be%a8%e6%95%b5%e5%8f%8b","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=38848","title":{"rendered":"AI\u4e5f\u80fd\u5206\u8fa8\u6575\u53cb?"},"content":{"rendered":"<div class=\"single-post-media clr\">\n<div class=\"post-thumbnail\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/highscope.ch.ntu.edu.tw\/wordpress\/wp-content\/uploads\/2019\/04\/social-ai.jpg\" alt=\"AI\u4e5f\u80fd\u5206\u8fa8\u6575\u53cb?\" width=\"480\" height=\"336\" \/><\/div>\n<\/div>\n<div class=\"entry clr\">\n<div class=\"pf-content\">\n<p><strong>\u7de8\u8b6f\uff0f\u9673\u80b2\u5a77<\/strong><\/p>\n<p><strong>\u5f37\u5316\u5b78\u7fd2<\/strong><\/p>\n<p>\u300c\u5f37\u5316\u5b78\u7fd2\u300d\uff08Reinforcement Learning\uff09\u6709\u5225\u65bc\u50b3\u7d71\u76e3\u7763\u5f0f\u5b78\u7fd2\u8f38\u5165\u8207\u8f38\u51fa\u6709\u660e\u78ba\u5b9a\u7fa9\uff0c\u5f37\u8abf\u900f\u904e\u8207\u74b0\u5883\u7684\u4e92\u52d5\u4ee5\u53ca\u734e\u61f2\u6a5f\u5236\uff0c\u4f86\u5efa\u7acb\u6a5f\u5668\u7684\u884c\u70ba\u6a21\u5f0f\u3002\u6b63\u5982\u540c\u8a13\u7df4\u8c93\u3001\u72d7\uff0c\u82e5\u80fd\u7cbe\u6e96\u9075\u5faa\u53e3\u4ee4\uff0c\u5247\u7d66\u4e88\u734e\u52f5\uff0c\u53cd\u4e4b\u5247\u65bd\u4ee5\u61f2\u7f70\uff0c\u4e45\u800c\u4e45\u4e4b\u5efa\u7acb\u8d77\u300c\u6b63\u78ba\u300d\u7684\u884c\u70ba\u6a21\u5f0f\u3002<\/p>\n<p>\u5176\u4e2d\u727d\u6d89\u5169\u500b\u4e3b\u8981\u89d2\u8272\uff1a\u884c\u52d5\u8005\uff08Agent\uff09\u8207\u74b0\u5883\uff08Environment\uff09\uff0c\u5f8c\u8005\u6cdb\u6307\u524d\u8005\u7121\u6cd5\u76f4\u63a5\u64cd\u63a7\u7684\u4e00\u5207\u4e8b\u7269\u3002\u884c\u52d5\u8005\u7121\u6b0a\u66f4\u52d5\u734e\u61f2\u898f\u5247\uff0c\u6240\u4ee5\u9700\u8981\u5f9e\u8207\u74b0\u5883\u7684\u4e92\u52d5\u4e2d\u5b78\u7fd2\uff0c\u8abf\u6574\u81ea\u5df1\u7684\u884c\u70ba\uff0c\u4ee5\u6c42\u6700\u5927\u5316\u9577\u671f\u5229\u76ca\u3002\u70ba\u6b64\uff0c\u5fc5\u9808\u8981\u80fd\u5224\u5b9a\u7576\u524d\u72c0\u614b\uff0c\u4e26\u4ee5\u7d2f\u7a4d\u66f4\u591a\u7684\u734e\u52f5\u70ba\u76ee\u6a19\uff0c\u9078\u64c7\u63a5\u4e0b\u4f86\u7684\u52d5\u4f5c\uff0c\u800c\u9019\u6a23\u7684\u904e\u7a0b\u901a\u5e38\u4ef0\u8cf4\u300c\u99ac\u53ef\u592b\u6c7a\u7b56\u300d\uff08Markov Decision Process\uff09\u3002<\/p>\n<p><strong>\u99ac\u53ef\u592b\u6c7a\u7b56\u904e\u7a0b<\/strong><\/p>\n<p>\u82e5\u74b0\u5883\u5177\u6709\u99ac\u53ef\u592b\u6027\u8cea\uff0c\u5247\u6a5f\u5668\u4fbf\u53ef\u900f\u904e\u99ac\u53ef\u592b\u6c7a\u7b56\u904e\u7a0b\u9078\u64c7\u4e0b\u4e00\u6b65\u3002\u6240\u8b02\u300c\u99ac\u53ef\u592b\u6027\u8cea\u300d\uff08Markov property\uff09\u662f\u6307\uff1a\u74b0\u5883\u7684\u672a\u4f86\u53d6\u6c7a\u65bc\u7576\u4e0b\u7684\u72c0\u614b\uff0c\u800c\u8207\u904e\u53bb\u7121\u95dc\u3002\u6c7a\u7b56\u904e\u7a0b\u8003\u91cf\u4e0b\u5217\u8b8a\u6578\uff1a<\/p>\n<ul>\n<li>\u72c0\u614b\uff08s\u2208S\uff09<br \/>\n\u8996\u554f\u984c\u800c\u5b9a\uff0c\u4ee5\u4e0b\u68cb\u70ba\u4f8b\uff0c\u53ef\u5b9a\u7fa9\u70ba\u68cb\u76e4\u4e2d\u6240\u6709\u65b9\u683c\u3002<\/li>\n<li>\u52d5\u4f5c\uff08a\u2208A\uff09<br \/>\n\u540c\u6a23\u8996\u554f\u984c\u800c\u5b9a\uff0c\u4ee5\u4e0b\u68cb\u70ba\u4f8b\uff0c\u4fbf\u662f\u68cb\u5b50\u7684\u79fb\u52d5\u898f\u5247\u3002<\/li>\n<li>\u72c0\u614b\u79fb\u8f49\u65b9\u7a0b\u5f0f T\uff08s, a, s\u2019\uff09<br \/>\n\u7d00\u9304\u5f9e\u72c0\u614bs\u63a1\u53d6\u52d5\u4f5ca\u5230\u9054s\u2019\u7684\u6a5f\u7387\u3002<\/li>\n<li>\u734e\u52f5\u51fd\u6578\u65b9\u7a0b\u5f0f R\uff08s, a, s\u2019)<br \/>\n\u5f9e\u72c0\u614bs\u63a1\u52d5\u4f5ca\u5230\u9054s\u2019\uff0c\u6240\u80fd\u5f97\u5230\u7684\u734e\u52f5\u3002\u9019\u662f\u95dc\u9375\uff0c\u9019\u6a23\u884c\u52d5\u8005\u624d\u80fd\u5b78\u7fd2\u5982\u4f55\u5728\u72c0\u614b\u8b8a\u63db\u9593\u7372\u53d6\u6700\u5927\u734e\u52f5\u3002<\/li>\n<li>\u03b3\u6298\u6263\u7387\uff08discount\uff09<br \/>\n\u70ba\u4e86\u8b93\u672a\u4f86\u56de\u5831\u7e3d\u548c\u6536\u6582\uff0c\u03b3\u2208[0, 1]<\/li>\n<li>\u03c0\u7b56\u7565\uff08policy\uff09<br \/>\n\u884c\u52d5\u8005\u7684\u884c\u70ba\u51fd\u6578\uff0c\u03c0 (a|s) = P (a<sub>t\u00a0<\/sub>\u00a0= a|s<sub>t\u00a0<\/sub>= s)<\/li>\n<li><i>G<sub>t<\/sub><\/i>\u56de\u5831<br \/>\n\u5f9e\u6642\u523bt\u5f00\u59cb\u7684\u7e3d\u6298\u6263\u734e\u52f5\uff0c<i>G<sub>t\u00a0<\/sub><\/i>= R<sub>t+1<\/sub>\u00a0+\u00a0\u03b3R<sub>t+2<\/sub>\u00a0+ \u2026=\u00a0\u200b<span class=\"math inherit-color\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"munderover\"><span id=\"MathJax-Span-4\" class=\"mo\">\u2211<\/span><span id=\"MathJax-Span-5\" class=\"texatom\"><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"mi\">\u221e<\/span><\/span><\/span><span id=\"MathJax-Span-8\" class=\"texatom\"><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mi\">k<\/span><span id=\"MathJax-Span-11\" class=\"mo\">=<\/span><span id=\"MathJax-Span-12\" class=\"mn\">1<\/span><\/span><\/span><\/span><span id=\"MathJax-Span-13\" class=\"msubsup\"><span id=\"MathJax-Span-14\" class=\"mi\">\u03b3<\/span><span id=\"MathJax-Span-15\" class=\"mi\">k<\/span><\/span><span id=\"MathJax-Span-16\" class=\"msubsup\"><span id=\"MathJax-Span-17\" class=\"mi\">R<\/span><span id=\"MathJax-Span-18\" class=\"texatom\"><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"mi\">t<\/span><span id=\"MathJax-Span-21\" class=\"mo\">+<\/span><span id=\"MathJax-Span-22\" class=\"mn\">1<\/span><span id=\"MathJax-Span-23\" class=\"mo\">+<\/span><span id=\"MathJax-Span-24\" class=\"mi\">k<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/li>\n<li>v<sub>\u03c0<\/sub>(s) \u72c0\u614b\u503c\u51fd\u6578<br \/>\n\u5f9e\u72c0\u614bs\u51fa\u767c\uff0c\u6309\u7167\u7b56\u7565\u03c0\u5f97\u5230\u7684\u671f\u671b\u56de\u5831\uff0cv<sub>\u03c0<\/sub>(s) = E<sub>\u03c0<\/sub>(G<sub>t<\/sub>\u00a0| s<sub>t<\/sub>\u00a0= s)<\/li>\n<li>q<sub>\u03c0<\/sub>(s, a)\u00a0\u884c\u70ba\u503c\u51fd\u6578<br \/>\n\u5f9e\u72c0\u614bs\u51fa\u767c\uff0c\u63a1\u53d6\u884c\u70baa\u5f8c\uff0c\u6309\u7b56\u7565\u03c0\u63a1\u53d6\u884c\u70ba\u5f97\u5230\u7684\u671f\u671b\u56de\u5831\uff0cq<sub>\u03c0<\/sub>(s, a) = E<sub>\u03c0<\/sub>(G<sub>t<\/sub>\u00a0| s<sub>t<\/sub>\u00a0= s, a<sub>t\u00a0<\/sub>=a<sub>\u00a0<\/sub>)<\/li>\n<\/ul>\n<p>\u5c07\u55ae\u4e00\u884c\u52d5\u8005\u7684\u99ac\u53ef\u592b\u6c7a\u7b56\u904e\u7a0b\u64f4\u5c55\u70ba\u4e00\u9023\u4e32\u7684\u6c7a\u7b56\u6c7a\u5b9a\uff0c\u4fbf\u53ef\u6a21\u64ec\u96a8\u6a5f\u535a\u5f08\u4e2d\u7684\u591a\u4eba\u4e92\u52d5\u3002<\/p>\n<p><strong>\u6b78\u7d0d\u504f\u7f6e<\/strong><\/p>\n<p>\u6a5f\u5668\u900f\u904e\u8a13\u7df4\u6240\u638c\u63e1\u8f38\u5165\u8207\u8f38\u51fa\u7684\u5c0d\u61c9\u95dc\u4fc2\uff0c\u82e5\u9700\u64f4\u5c55\u61c9\u7528\u81f3\u8a13\u7df4\u96c6\u5916\u7684\u6a23\u672c\u6642\uff0c\u52e2\u5fc5\u505a\u51fa\u67d0\u4e9b\u9810\u8a2d\uff0c\u9019\u4e9b\u5047\u8a2d\u7a31\u70ba\u300c\u6b78\u7d0d\u504f\u7f6e\u300d\uff08inductive bias\uff09\uff0c\u6216\u300c\u5b78\u7fd2\u504f\u8aa4\u300d\uff08learning bias\uff09\u3002\u4f8b\u5982\u6211\u5011\u7b2c\u4e00\u6b21\u9047\u5230\u300cfly\u300d\uff08\u8f38\u5165\uff09\u9019\u500b\u55ae\u5b57\u6642\uff0c\u53ef\u80fd\u6703\u4ee5\u70ba\u662f\u5728\u5b57\u5c3e\u52a0\u4e0a\u5f8c\u7db4-ed\uff08\u5c0d\u61c9\u95dc\u4fc2\uff09\u5f62\u6210\u904e\u53bb\u5f0f\uff08\u8f38\u51fa\uff1b\u4f5c\u300c\u98db\u884c\u300d\u89e3\u6642\uff0c\u61c9\u70ba\u300cflew\u300d\uff09\uff0c\u300c\u6240\u6709\u82f1\u8a9e\u52d5\u8a5e\u7686\u70ba\u898f\u5247\u8b8a\u5316\u300d\u4fbf\u662f\u4e00\u7a2e\u6b78\u7d0d\u504f\u7f6e\uff0c\u6216\u8a31\u7121\u6cd5\u767e\u5206\u4e4b\u767e\u6b63\u78ba\uff0c\u4f46\u8db3\u4ee5\u61c9\u4ed8\u591a\u6578\u60c5\u6cc1\uff1b\u7576\u4eba\u985e\u6216\u6a5f\u5668\u8a66\u5716\u63e3\u6469\u5176\u4ed6\u667a\u6167\u9ad4\u7684\u5fc3\u7406\u72c0\u614b\u6216\u610f\u5716\u6642\uff0c\u4ea6\u662f\u5982\u6b64\u3002<\/p>\n<p>\u7814\u7a76\u5718\u968a\u8a8d\u70ba\uff1a\u82e5\u53ef\u4ee5\u300c\u53ef\u7d44\u5408\u5718\u968a\u5c64\u6b21\u7d50\u69cb\u300d\uff08Composable Team Hierarchies\uff0cCTH\uff09\u70ba\u6b78\u7d0d\u504f\u7f6e\u7684\u5167\u5bb9\uff0cAI\u53ef\u4ee5\u66f4\u8cbc\u8fd1\u4eba\u985e\u7684\u793e\u4ea4\u89c0\u5bdf\u80fd\u529b\u3002CTH\u5305\u542b\u4e09\u500b\u51fd\u6578\u904b\u7b97\u5b50\uff1a\u5169\u500b\u7c21\u55ae\u8a08\u5283\u904b\u7b97\u5b50\u2500\u300c\u500b\u9ad4\u6700\u4f73\u53cd\u61c9\u904b\u7b97\u5b50\u300d\uff08Best-Response operator\uff0cBR\uff09\u8207\u300c\u5171\u540c\u898f\u5283\u904b\u7b97\u5b50\u300d\uff08Joint-Planning operator\uff0cJP\uff09\u2500\u4ee5\u53ca\u4e00\u500b\u300c\u66ff\u4ee3\u904b\u7b97\u5b50\u300d\uff08REPLACE\uff09\uff0c\u6b64\u4ee5\u4f86\u6982\u62ec\u591a\u4eba\u7684\u793e\u6703\u4e92\u52d5\uff0c\u7531\u65cf\u7fa4\u3001\u90e8\u65cf\u5230\u8207\u806f\u76df\u7684\u5408\u4f5c\u95dc\u4fc2\u3002\u904b\u7528\u8c9d\u6c0f\u898f\u5247\uff08Bayes Rule\uff09\u5c0dCTH\u505a\u6a5f\u7387\u63a8\u8ad6\uff0c\u63a8\u65b7\u884c\u52d5\u8005\u5c0d\u4ed6\u4eba\u63a1\u53d6\u7684\u7acb\u5834\u3002<\/p>\n<p>BR\u53caJP\u7684\u51fd\u5f0f\u5167\u5bb9\uff0c\u5c31\u662f\u5f37\u5316\u5b78\u7fd2\u4e2d\u5e38\u7528\u7684\u300c\u8c9d\u723e\u66fc\u65b9\u7a0b\u5f0f\u300d\uff08Bellman Equation\uff09\uff0c\u8868\u9054\u884c\u70ba\u503c\u51fd\u6578\u8207\u52d5\u4f5c\u503c\u51fd\u6578\u81ea\u8eab\u53ca\u76f8\u4e92\u7684\u905e\u8ff4\u95dc\u4fc2\uff1bREPLACE\u5247\u662f\u5c07\u524d\u8ff0\u5169\u500b\u904b\u7b97\u5b50\u7d50\u5408\u8d77\u4f86\u3002\u884c\u52d5\u8005\u53ef\u85c9\u7531\u65b9\u7a0b\u5f0f\u6c7a\u5b9a\u8981\u63a1\u53d6\u600e\u6a23\u7684\u884c\u70ba\uff1f\u5230\u4ec0\u9ebc\u72c0\u614b\u624d\u6703\u5f97\u5230\u6700\u9ad8\u671f\u671b\u734e\u52f5\uff1f<\/p>\n<p>\u7d9c\u5408\u4e0a\u8ff0\u4e09\u500b\u6b65\u9a5f\uff0c\u4ee5\u53ca\u5176\u4e2d\u6240\u63d0\u7684\u6982\u5ff5\u8207\u6578\u5b78\u6a21\u578b\uff0c\u5efa\u69cb\u51fa\u5b8c\u6574\u7684\u6f14\u7b97\u6cd5\uff0c\u8b93\u6a5f\u5668\u53ef\u4ee5\u7531\u89c0\u5bdf\u57f9\u990a\u51fa\u4eba\u985e\u7684\u793e\u4ea4\u76f4\u89ba\uff0c\u4e26\u505a\u51fa\u63a8\u65b7\u3002<\/p>\n<p><strong>\u7375\u9e7f\u535a\u5f08<\/strong><\/p>\n<p>\u7814\u7a76\u5718\u968a\u66f4\u8a2d\u8a08\u4e86\u300c\u7375\u9e7f\u535a\u5f08\u5be6\u9a57\u300d\uff08stag-hunt\uff09\u4f86\u6e2c\u8a66AI\u7684\u793e\u4ea4\u80fd\u529b\uff1a\u4e09\u540d\u7375\u4eba\u3001\u5169\u982d\u9e7f\u8207\u5169\u96bb\u5154\u5b50\uff0c\u4e00\u958b\u59cb\u5206\u5225\u4f4d\u65bc5\u00d77\u65b9\u683c\u4e2d\u7684\u4e0d\u540c\u4f4d\u7f6e\u3002\u7375\u4eba\u6355\u7372\u5154\u5b50\u53ef\u4ee5\u5f97\u52301\u9ede\uff0c\u6355\u7372\u9e7f\u5247\u53ef\u4ee5\u5f97\u523020\u9ede\uff0c\u7136\u800c\u5f8c\u8005\u9700\u8981\u5169\u540d\u7375\u4eba\u540c\u6642\u62b5\u9054\u9e7f\u7684\u6240\u5728\u4f4d\u7f6e\u624d\u7b97\u5206\u3002\u7814\u7a76\u8005\u63d0\u4f9b\u7375\u4eba\u79fb\u52d5\u524d\u4e09\u6b65\u7684\u7dda\u7d22\uff0c\u8981\u6c42\u6a5f\u5668\u8207\u4eba\u985e\u53d7\u8a66\u8005\u5206\u5225\u5224\u65b7\u5728\u4e0d\u540c\u8d77\u59cb\u4f4d\u7f6e\u3001\u4e0d\u540c\u8def\u7dda\uff0c\u7375\u4eba\u9593\u7684\u5408\u4f5c\u95dc\u4fc2\u3002\u7d50\u679c\u986f\u793a\uff1a\u6b64\u6f14\u7b97\u6cd5\u5df2\u80fd\u5728\u7279\u5b9a\u60c5\u5883\u4e0b\uff0c\u900f\u904e\u5feb\u901f\u3001\u62bd\u8c61\u7684\u89c0\u5bdf\u5224\u65b7\u793e\u4ea4\u95dc\u4fc2\uff0c\u4e14\u8207\u4eba\u985e\u7684\u5224\u65b7\u76f8\u53bb\u4e0d\u9060\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u7de8\u8b6f\u4f86\u6e90<\/strong><\/p>\n<p>K. Hao, \u201c<a href=\"https:\/\/www.technologyreview.com\/f\/612811\/an-algorithm-that-mimics-our-tribal-instincts-could-help-ai-learn-to-socialize\/\">An algorithm that mimics our tribal instincts could help AI learn to socialize<\/a>\u201c, MIT Technology Review, January 22, 2019.<\/p>\n<p><strong>\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n<p>M.\u00a0Shum, M. Kleiman-Weiner, M. L. Littman, and J. B. Tenenbaum, \u201c<a href=\"https:\/\/arxiv.org\/abs\/1901.06085\">Theory of Minds: Understanding Behavior in Groups Through Inverse Planning<\/a>,\u201d\u00a0<em>arXiv preprint arXiv:1901.06085,\u00a0<\/em>2019.<\/p>\n<p>(\u672c\u6587\u7531\u6559\u80b2\u90e8\u88dc\u52a9\u300cAI\u5831\u5831\u2500AI\u79d1\u666e\u63a8\u5ee3\u8a08\u756b\u300d\u57f7\u884c\u5718\u968a\u7de8\u8b6f)<\/p>\n<\/div>\n<div class=\"addtoany_share_save_container addtoany_content addtoany_content_bottom\">\n<div class=\"a2a_kit a2a_kit_size_32 addtoany_list\" data-a2a-url=\"https:\/\/highscope.ch.ntu.edu.tw\/wordpress\/?p=81356\" data-a2a-title=\"AI\u4e5f\u80fd\u5206\u8fa8\u6575\u53cb?\"><a class=\"a2a_button_facebook\" title=\"Facebook\" href=\"https:\/\/highscope.ch.ntu.edu.tw\/#facebook\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"a2a_label\">Facebook<\/span><\/a><a class=\"a2a_button_twitter\" title=\"Twitter\" href=\"https:\/\/highscope.ch.ntu.edu.tw\/#twitter\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"a2a_label\">Twitter<\/span><\/a><a class=\"a2a_button_line\" title=\"Line\" href=\"https:\/\/highscope.ch.ntu.edu.tw\/#line\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"a2a_label\">Line<\/span><\/a><a class=\"a2a_button_email\" title=\"Email\" href=\"https:\/\/highscope.ch.ntu.edu.tw\/#email\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"a2a_label\">Email<\/span><\/a><a class=\"a2a_dd a2a_counter addtoany_share_save addtoany_share\" href=\"https:\/\/www.addtoany.com\/share#url=https%3A%2F%2Fhighscope.ch.ntu.edu.tw%2Fwordpress%2F%3Fp%3D81356&amp;title=AI%E4%B9%9F%E8%83%BD%E5%88%86%E8%BE%A8%E6%95%B5%E5%8F%8B%3F\"><span class=\"a2a_label a2a_localize\" data-a2a-localize=\"inner,Share\">\u5206\u4eab<\/span><\/a><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u842c\u5169\u5343\u5e74\u524d\u8fb2\u696d\u9769\u547d\uff0c\u96a8\u8457\u5927\u898f\u6a21\u5408\u4f5c\u767c\u5c55\u51fa\u7684\u5927\u578b\u793e\u6703\u7db2\u7d61\uff0c\u4eba\u985e\u9010\u6f38\u6f14\u5316\u51fa\u80fd\u5728\u6709\u9650\u4e14\u77ed\u66ab\u7684\u4e92\u52d5\u4e2d\uff0c\u8fa8\u8a8d\u6f5b\u85cf\u5925\u4f34\u8207\u6575\u4eba\u7684\u8a8d\u77e5\u80fd\u529b\u3002MIT\u8a8d\u77e5\u79d1\u5b78\u8207\u5e03\u6717\u5927\u5b78\u8cc7\u5de5\u7cfb\u7684\u56db\u4f4d\u6559\u6388\uff0c\u767c\u5c55\u51fa\u4e00\u5957\u57fa\u65bc\u96a8\u6a5f\u535a\u5f08\u8207\u5f37\u5316\u5b78\u7fd2\u7684\u6f14\u7b97\u6cd5\uff0c\u5728\u6240\u8a2d\u8a08\u7684\u793e\u4ea4\u95dc\u4fc2\u89c0\u5bdf\u5be6\u9a57\u4e2d\uff0c\u8868\u73fe\u51fa\u8207\u4eba\u985e\u4e0d\u76f8\u4e0a\u4e0b\u7684\u793e\u4ea4\u89c0\u5bdf\u80fd\u529b\u3002\u5728\u7af6\u722d\u8207\u5408\u4f5c\u4e26\u5b58\u7684\u74b0\u5883\u4e2d\uff0c\u6700\u5927\u7684\u6311\u6230\u4fbf\u662f\u5982\u4f55\u5340\u5206\u6575\u6211\uff0c\u627e\u51fa\u9069\u5408\u767c\u5c55\u9577\u671f\u5408\u4f5c\u95dc\u4fc2\u7684\u5c0d\u8c61\u3002\u9019\u6a23\u7684\u793e\u4ea4\u8a55\u4f30\u80fd\u529b\uff0c\u662f\u57fa\u65bc\u5fc3\u667a\u7406\u8ad6\uff08Theory of Mind\uff0cToM\uff09\uff0c\u4e00\u7a2e\u80fd\u5920\u7406\u89e3\u81ea\u5df1\u4ee5\u53ca\u63e3\u6469\u5468\u570d\u4eba\u985e\u5fc3\u7406\u7684\u80fd\u529b\u3002\u5982\u4f55\u8b93\u6a5f\u5668\u5177\u6709\u985e\u4f3c\u7684\u793e\u6703\u89c0\u5bdf\u80fd\u529b\uff0c\u8fa8\u8a8d\u3001\u5224\u65b7\u5404\u7a2e\u6f5b\u5728\u7684\u5408\u4f5c\u95dc\u4fc2\uff0c\u5230\u63a1\u53d6\u5be6\u969b\u884c\u52d5\uff0c\u727d\u6d89\u4ee5\u4e0b\u4e09\u7a2e\u89c0\u5ff5\uff0c\u7f3a\u4e00\u4e0d\u53ef\uff0c\u5728\u6b64\u4e00\u4e00\u7c21\u55ae\u4ecb\u7d39\u3002<\/p>\n","protected":false},"author":21,"featured_media":38849,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3772,3293],"tags":[2981,506,984,6021,6022,6023],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2022\/01\/social-ai.jpg","_links":{"self":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/38848"}],"collection":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=38848"}],"version-history":[{"count":1,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/38848\/revisions"}],"predecessor-version":[{"id":38850,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/38848\/revisions\/38850"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/media\/38849"}],"wp:attachment":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=38848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=38848"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=38848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}