{"id":38476,"date":"2022-11-14T18:05:53","date_gmt":"2022-11-14T10:05:53","guid":{"rendered":"https:\/\/swarma.org\/?p=38476"},"modified":"2022-11-14T18:05:53","modified_gmt":"2022-11-14T10:05:53","slug":"neuroai%ef%bc%9a%e8%bf%88%e5%90%91%e4%b8%8b%e4%b8%80%e4%bb%a3%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=38476","title":{"rendered":"NeuroAI\uff1a\u8fc8\u5411\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd"},"content":{"rendered":"
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NeuroAI \u662f\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u7684\u4ea4\u53c9\u70b9\uff0c\u8fd9\u4e00\u65b0\u5174\u9886\u57df\u5047\u5b9a\uff0c\u5bf9\u795e\u7ecf\u8ba1\u7b97\u7684\u66f4\u597d\u7406\u89e3\u5c06\u5e2e\u52a9\u50ac\u5316\u4eba\u5de5\u667a\u80fd\u7684\u4e0b\u4e00\u6b21\u9769\u547d\u3002\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u5728 arXiv \u4e0a\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff0c\u4ee5\u4e0b\u662f\u5bf9\u4e89\u8bba\u7684\u4e3b\u89d2\u2014\u2014NeuroAI \u767d\u76ae\u4e66\u7684\u5168\u6587\u7ffb\u8bd1\u3002<\/span><\/strong><\/span><\/strong><\/p>\n


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\u672c\u7740\u4fc3\u8fdb\u795e\u7ecf\u79d1\u5b66\u3001\u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8ba4\u77e5\u79d1\u5b66\u548c\u8111\u79d1\u5b66\u7b49\u4e0d\u540c\u9886\u57df\u7684\u5b66\u672f\u5de5\u4f5c\u8005\u7684\u4ea4\u6d41\u4e0e\u5408\u4f5c\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u67f3\u6600\u54f2\u3001<\/span><\/strong><\/span><\/strong>\u5317\u4eac\u5927\u5b66\u9c8d\u5e73\u78ca\u548c\u660c\u5e73\u5b9e\u9a8c\u5ba4\u5415\u67c4\u6c5f\u4e09\u4f4d\u7814\u7a76\u5458\u5171\u540c\u53d1\u8d77\u4e86 \u300cNeuroAI\u300d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u805a\u7126\u5728\u89c6\u89c9\u3001\u8bed\u8a00\u548c\u5b66\u4e60\u9886\u57df\u4e2d\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u76f8\u5173\u7814\u7a76\uff0c\u671f\u5f85\u80fd\u591f\u67b6\u8d77\u795e\u7ecf\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5408\u4f5c\u6865\u6881\uff0c\u6fc0\u53d1\u8de8\u5b66\u79d1\u7684\u5b66\u672f\u706b\u82b1\u3002\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u53c2\u52a0\u3002<\/span><\/strong><\/span><\/strong><\/p>\n<\/section>\n

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\u5173\u952e\u8bcd\uff1aNeuroAI\uff0c\u4eba\u5de5\u667a\u80fd\uff0c\u795e\u7ecf\u79d1\u5b66<\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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Anthony Zador, Blake Richards, Bence \u00d6lveczky\u7b49<\/span><\/strong><\/span><\/strong> <\/span>| \u6765\u6e90<\/strong><\/span><\/strong><\/span><\/strong><\/p>\n

\u8d75\u51ef<\/span><\/strong><\/span><\/strong> <\/span>| \u8bd1\u8005<\/strong><\/span><\/strong><\/strong><\/span><\/strong><\/span><\/p>\n

\u9093\u4e00\u96ea<\/span> <\/span>| <\/strong><\/span>\u7f16\u8f91<\/strong><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/section>\n
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution<\/span><\/section>\n
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https:\/\/arxiv.org\/abs\/2210.08340<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u5728\u672a\u6765\u51e0\u5341\u5e74\uff0cAI\u53ef\u80fd\u4f1a\u50cf\u4e0a\u4e16\u7eaa\u53d1\u751f\u7684\u8ba1\u7b97\u673a\u9769\u547d\u4e00\u6837\u4ee5\u4e00\u79cd\u6df1\u523b\u7684\u65b9\u5f0f\u6539\u53d8\u793e\u4f1a\u548c\u4e16\u754c\u7ecf\u6d4e\uff0c\u800c\u4e14\u901f\u5ea6\u53ef\u80fd\u4f1a\u66f4\u5feb\u3002\u8fd9\u573aAI\u9769\u547d\u4e3a\u4eba\u7c7b\u5728\u73b0\u4ee3\u7ecf\u6d4e\u4e2d\u91ca\u653e\u521b\u9020\u529b\u63d0\u4f9b\u4e86\u5de8\u5927\u7684\u673a\u4f1a\u3002\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u65b0\u8fdb\u5c55\u53ef\u4ee5\u4f7f\u5de5\u4eba\u83b7\u5f97\u66f4\u9ad8\u7684\u751f\u4ea7\u529b\uff0c\u5e76\u907f\u514d\u5de5\u4eba\u4ece\u4e8b\u6700\u5371\u9669\u548c\u6700\u5351\u5fae\u7684\u5de5\u4f5c\u3002\u4f46\u662f\uff0c\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\uff0c\u6211\u4eec\u9700\u8981\u4f7fAI\u83b7\u5f97\u7c7b\u4f3c\u4eba\u7c7b\u7684\u80fd\u529b\u3002\u4ece\u5386\u53f2\u4e0a\u770b\uff0c\u795e\u7ecf\u79d1\u5b66\u4e00\u76f4\u662fAI\u8fdb\u6b65\u7684\u5173\u952e\u9a71\u52a8\u529b\u548c\u7075\u611f\u6765\u6e90\uff0c\u5c24\u5176\u662f\u4eba\u5de5\u667a\u80fd\u66f4\u7cbe\u901a\u7684\u9886\u57df\uff0c\u5982\u89c6\u89c9\u3001\u57fa\u4e8e\u5956\u52b1\u7684\u5b66\u4e60\u3001\u4e0e\u7269\u7406\u4e16\u754c\u7684\u4e92\u52a8\u4ee5\u53ca\u8bed\u8a00\u65b9\u9762\u7b49\uff0c\u8fd9\u4e9b\u9886\u57df\u4eba\u7c7b\u548c\u52a8\u7269\u4e5f\u5f88\u64c5\u957f<\/span> (Hassabis et al. 2017)<\/span>\u3002\u4eba\u5de5\u667a\u80fd\u4f9d\u7136\u53ef\u4ee5\u626e\u6f14\u8fd9\u4e2a\u89d2\u8272\uff0c\u4f46\u4e3a\u4e86\u52a0\u901fAI\u7684\u53d1\u5c55\u5e76\u5b9e\u73b0\u5176\u5de8\u5927\u6f5c\u529b\uff0c\u6211\u4eec\u5fc5\u987b\u6295\u8d44\u201cNeuroAI\u201d\u7684\u57fa\u7840\u7814\u7a76\u3002<\/span><\/section>\n

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\u51e0\u5341\u5e74\u524d\uff0c\u5f53\u65f6\u7684\u7814\u7a76\u4eba\u5458\u4e3a\u8bd5\u56fe\u4e86\u89e3\u5927\u8111\u662f\u5982\u4f55\u8ba1\u7b97\u7684\u800c\u57cb\u4e0b\u4e86\u4eba\u5de5\u667a\u80fd\u7684\u79cd\u5b50<\/span>(McCulloch and Pitts 1943)<\/span>\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5728\u4e0a\u4e16\u7eaa40\u5e74\u4ee3\uff0c\u7ea6\u7ff0\u00b7\u51af\u00b7\u8bfa\u4f0a\u66fc\u5229\u7528\u4ed6\u6240\u638c\u63e1\u7684\u975e\u5e38\u6709\u9650\u7684\u5173\u4e8e\u5927\u8111\u7684\u77e5\u8bc6\uff0c\u5efa\u7acb\u4e86\u73b0\u4ee3\u201c\u51af\u00b7\u8bfa\u4f9d\u66fc\u8ba1\u7b97\u673a\u67b6\u6784\u201d\uff0c\u8fd9\u4e9b\u6709\u9650\u7684\u77e5\u8bc6\u6765\u6e90\u4e8e\u6700\u521d\u5efa\u9020\u4eba\u5de5\u5927\u8111\u7684\u5c1d\u8bd5<\/span> (Von Neumann 2012)<\/span>\u3002\u63a8\u52a8\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u9769\u547d\u7684\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u5efa\u7acb\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u57fa\u7840\u4e4b\u4e0a\uff0c\u5176\u76f4\u63a5\u7075\u611f\u6765\u6e90\u4e8e\u6234\u7ef4\u00b7\u8d6b\u8d1d\u5c14<\/span>\uff08David Hubel\uff09<\/span>\u548c\u6258\u5c14\u65af\u6ed5\u00b7\u7ef4\u585e\u5c14<\/span>\uff08Torsten Wiesel\uff09<\/span>\u5173\u4e8e\u732b\u7684\u89c6\u89c9\u5904\u7406\u795e\u7ecf\u73af\u8def\u7684\u5de5\u4f5c\uff0c\u540e\u8005\u83b7\u5f97\u4e86\u8bfa\u8d1d\u5c14\u5956<\/span> (Hubel and Wiesel 1962; LeCun and Bengio 1995)<\/span>\u3002\u4e0e\u4e4b\u76f8\u4f3c\u7684\u662f\u5f3a\u5316\u5b66\u4e60<\/span> (RL) <\/span>\u7684\u53d1\u5c55\u5386\u7a0b\uff0cRL\u7684\u76f4\u63a5\u7075\u611f\u6765\u6e90\u4e8e\u5bf9\u52a8\u7269\u884c\u4e3a\u548c\u5176\u795e\u7ecf\u6d3b\u52a8\u7684\u89c2\u5bdf<\/span>(Thorndike and Bruce 2017; Rescorla 1972; Schultz, Dayan, and Montague 1997)<\/span>\u3002\u51e0\u5341\u5e74\u540e\u7684\u4eca\u5929\uff0c\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u548cRL\u7684\u5e94\u7528\u53d1\u5c55\u8fc5\u901f\uff0c\u4ee5\u81f3\u4e8e\u5f88\u591a\u89c2\u5bdf\u8005\u90fd\u8ba4\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u957f\u671f\u76ee\u6807\u2014\u2014\u901a\u7528\u4eba\u5de5\u667a\u80fd\u5df2\u7ecf\u5b9e\u73b0\u4e86\u3002\u7136\u800c\uff0c\u9886\u57df\u5185\u7684\u4eba\u58eb\u5219\u8ba4\u4e3a\uff0c\u5728\u6211\u4eec\u5efa\u7acb\u7c7b\u4f3c\u4eba\u7c7b\u3001\u751a\u81f3\u5c0f\u9f20\u8fd9\u6837\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4e4b\u524d\uff0c\u6211\u4eec\u4ecd\u9700\u5728\u8fd9\u4e2a\u9886\u57df\u53d6\u5f97\u65b0\u7684\u7a81\u7834\uff0c\u56e0\u4e3a\u73b0\u6709\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u5c1a\u4e0d\u80fd\u5b8c\u6210\u7c7b\u4f3c\u5c0f\u9f20\u7684\u6240\u6709\u4efb\u52a1\u3002<\/span><\/section>\n

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\u5c3d\u7ba1\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u53ef\u4ee5\u5728\u56fd\u9645\u8c61\u68cb<\/span> (Campbell, Hoane, and Hsu 2002) <\/span>\u548c\u56f4\u68cb <\/span>(Silver et al. 2016) <\/span>\u7b49\u6e38\u620f\u4e2d\u8f7b\u677e\u51fb\u8d25\u4efb\u4f55\u4eba\u7c7b\u5bf9\u624b\uff0c\u4f46\u5b83\u4eec\u5e76\u4e0d\u9c81\u68d2\uff0c\u5728\u9762\u5bf9\u65b0\u73af\u5883\u7684\u65f6\u5019\u5f80\u5f80\u4f1a\u5931\u6548\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u6ca1\u6709\u5efa\u7acb\u80fd\u591f\u8d70\u5230\u8d27\u67b6\u8fb9\u3001\u53d6\u4e0b\u68cb\u76d8\u3001\u653e\u7f6e\u68cb\u5b50\u3001\u5728\u6e38\u620f\u4e2d\u79fb\u52a8\u68cb\u5b50\u7684\u7cfb\u7edf\u3002\u7c7b\u4f3c\u5730\uff0c\u6ca1\u6709\u673a\u5668\u53ef\u4ee5\u7b51\u5de2\u3001\u89c5\u98df\u6d46\u679c\u6216\u7167\u987e\u5e7c\u5d3d\u3002\u4eca\u5929\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u65e0\u6cd5\u4e0e\u56db\u5c81\u513f\u7ae5\u751a\u81f3\u7b80\u5355\u52a8\u7269\u7684\u611f\u89c9\u8fd0\u52a8\u80fd\u529b\u7ade\u4e89\u3002\u8bb8\u591a\u5e94\u5bf9\u65b0\u60c5\u51b5\u6240\u9700\u7684\u57fa\u672c\u80fd\u529b\u5bf9\u4eba\u5de5\u667a\u80fd\u6765\u8bf4\u5177\u6709\u8f83\u5927\u7684\u6311\u6218\uff0c\u4f46\u52a8\u7269\u5929\u751f\u5c31\u62e5\u6709\u6216\u53ef\u8f7b\u677e\u83b7\u5f97\u8fd9\u4e9b\u80fd\u529b\uff0c\u90e8\u5206\u539f\u56e0\u662f\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7f3a\u4e4f\u4e0e\u53d8\u5e7b\u4e16\u754c\u4e92\u52a8\u7684\u57fa\u672c\u80fd\u529b\u3002\u8d8a\u6765\u8d8a\u591a\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4eba\u5458\u6000\u7591\uff0c\u4ec5\u4ec5\u6269\u5927\u73b0\u6709\u65b9\u6cd5\u5c31\u80fd\u514b\u670d\u8fd9\u4e9b\u9650\u5236\u3002\u8003\u8651\u5230\u9700\u8981\u5728AI\u4e2d\u5b9e\u73b0\u66f4\u591a\u7684\u81ea\u7136\u667a\u80fd\uff0c\u5f88\u53ef\u80fd\u9700\u8981\u4ece\u81ea\u7136\u667a\u80fd\u7cfb\u7edf\u4e2d\u83b7\u5f97\u65b0\u7684\u7075\u611f <\/span>(Sinz et al. 2019) <\/span>\u3002<\/span><\/section>\n

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\u867d\u7136\u8bb8\u591a\u5173\u952e\u7684\u4eba\u5de5\u667a\u80fd\u8fdb\u6b65\uff0c\u5982\u5377\u79ef\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u548cRL\uff0c\u90fd\u53d7\u5230\u4e86\u795e\u7ecf\u79d1\u5b66\u7684\u542f\u53d1\uff0c\u4f46\u76ee\u524d\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u8bb8\u591a\u7814\u7a76\u90fd\u5728\u9075\u5faa\u81ea\u5df1\u7684\u9053\u8def\uff0c\u5efa\u7acb\u5728\u4e4b\u524d\u5f00\u53d1\u7684\u65b9\u6cd5\u57fa\u7840\u4e0a\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u662f\u53d7\u6570\u5341\u5e74\u6765\u795e\u7ecf\u79d1\u5b66\u7684\u53d1\u73b0\u800c\u542f\u53d1\uff0c\u4f8b\u5982\u53d7\u5230\u5927\u8111\u4e2d\u6ce8\u610f\u529b\u673a\u5236\u542f\u53d1\u7684\u57fa\u4e8e\u6ce8\u610f\u529b\u7684\u795e\u7ecf\u7f51\u7edc<\/span> (Itti, Koch, and Niebur 1998; Larochelle and Hinton 2010; Xu et al. 2015) <\/span>\u3002\u73b0\u4ee3\u795e\u7ecf\u79d1\u5b66\u4ea7\u751f\u4e86\u65b0\u7684\u5f71\u54cd\uff0c\u4f46\u5b83\u4eec\u662f\u7531\u5c11\u6570\u7814\u7a76\u4eba\u5458\u5e26\u5934\u7684\u3002\u56e0\u6b64\u5728AI\u7684\u53d1\u5c55\u4e2d\u9519\u5931\u4e86\u5f88\u591a\u673a\u4f1a\u3002\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u4e2d\uff0c\u901a\u8fc7NIH\uff0c \u8111\u8ba1\u5212\u7b49\u52aa\u529b\uff0c\u6211\u4eec\u79ef\u7d2f\u4e86\u5927\u91cf\u5173\u4e8e\u5173\u4e8e\u652f\u6491\u81ea\u7136\u667a\u80fd\u7684\u89e3\u5256\u5b66\u548c\u529f\u80fd\u7ed3\u6784\u7684\u5927\u8111\u77e5\u8bc6\u3002NeuroAI\u662f\u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u7684\u4ea4\u53c9\u70b9\uff0c\u8fd9\u4e00\u65b0\u5174\u9886\u57df\u57fa\u4e8e\u4e00\u4e2a\u524d\u63d0\uff1a\u5bf9\u795e\u7ecf\u8ba1\u7b97\u7684\u66f4\u597d\u7406\u89e3\u5c06\u63ed\u793a\u667a\u80fd\u7684\u57fa\u672c\u6210\u5206\uff0c\u5e76\u50ac\u5316\u4eba\u5de5\u667a\u80fd\u7684\u4e0b\u4e00\u6b21\u9769\u547d\uff0c\u6700\u7ec8\u5bfc\u81f4\u4eba\u5de5\u667a\u80fd\u7684\u80fd\u529b\u4e0e\u4eba\u7c7b\u76f8\u5339\u914d\uff0c\u751a\u81f3\u53ef\u80fd\u8d85\u8fc7\u4eba\u7c7b<\/strong>\u3002\u6211\u4eec\u8ba4\u4e3a\uff0c\u73b0\u5728\u662f\u5927\u89c4\u6a21\u8fdb\u884c\u8bc6\u522b\u548c\u7406\u89e3\u751f\u7269\u667a\u80fd\u539f\u7406\u7684\u6070\u5f53\u65f6\u673a\uff0c\u5e76\u5c06\u8fd9\u4e9b\u539f\u7406\u62bd\u8c61\u51fa\u6765\u7528\u4e8e\u8ba1\u7b97\u673a\u548c\u673a\u5668\u4eba\u7cfb\u7edf\u3002<\/span><\/section>\n

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\u5c3d\u7ba1\u4eba\u4eec\u503e\u5411\u4e8e\u5173\u6ce8\u667a\u80fd\u884c\u4e3a\u4e2d\u6700\u5177\u4eba\u6027\u7279\u5f81\u7684\u65b9\u9762\uff0c\u4f8b\u5982\u62bd\u8c61\u601d\u7ef4\u548c\u63a8\u7406\uff0c\u5e76\u4e14\u4ece\u7a00\u758f\u89c2\u5bdf\u4e2d\u505a\u51fa\u4e00\u822c\u63a8\u65ad\u7684\u80fd\u529b\u5df2\u7ecf\u4ee5\u67d0\u79cd\u5f62\u5f0f\u5b58\u5728\u4e8e\u5df2\u7ecf\u8fdb\u5316\u4e86\u6570\u4ebf\u5e74\u7684\u57fa\u672c\u611f\u89c9\u8fd0\u52a8\u73af\u8def\u4e2d\u3002\u6b63\u5982\u4eba\u5de5\u667a\u80fd\u5148\u9a71\u6c49\u65af\u00b7\u83ab\u62c9\u7ef4\u514b<\/span> (Moravec 1988) <\/span>\u6240\u8bf4\uff0c\u62bd\u8c61\u601d\u7ef4\u201c\u662f\u4e00\u79cd\u65b0\u7684\u628a\u620f\uff0c\u4e5f\u8bb8\u4e0d\u523010\u4e07\u5e74\u7684\u5386\u53f2……\u6709\u6548\u7684\u552f\u4e00\u539f\u56e0\u662f\u5b83\u5f97\u5230\u4e86\u66f4\u53e4\u8001\u3001\u66f4\u5f3a\u5927\u3001\u4f46\u901a\u5e38\u662f\u65e0\u610f\u8bc6\u7684\u611f\u89c9\u8fd0\u52a8\u77e5\u8bc6\u7684\u652f\u6301\u201d\uff0c\u5c0f\u9f20\u548c\u975e\u4eba\u7075\u957f\u7c7b\u52a8\u7269\u53ef\u4ee5\u4f5c\u4e3a\u81ea\u7136\u667a\u80fd\u7684\u5b9e\u9a8c\u6a21\u578b\u3002\u5982\u679c\u4eba\u5de5\u667a\u80fd\u80fd\u591f\u5339\u914d\u4ed6\u4eec\u770b\u4f3c\u7b80\u5355\u7684\u611f\u77e5\u80fd\u529b\u548c\u8fd0\u52a8\u80fd\u529b\uff0c\u90a3\u4e48\u901a\u5f80\u4eba\u7c7b\u667a\u80fd\u6c34\u5e73\u7684\u6b65\u4f10\u5c06\u5927\u5927\u7f29\u77ed\u3002\u56e0\u6b64\u6211\u4eec\u76f8\u4fe1\uff0c\u5982\u679c\u6211\u4eec\u5f04\u6e05\u6240\u6709\u52a8\u7269\u4e0e\u4e16\u754c\u4e92\u52a8\u7684\u6838\u5fc3\u80fd\u529b\uff0cNeuroAI \u5c06\u5e26\u6765\u5fc5\u8981\u7684\u8fdb\u6b65\u3002<\/span><\/section>\n

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NeuroAI\u9762\u5bf9\u7684\u5927\u578b\u6311\u6218\uff1a\u5177\u8eab\u56fe\u7075\u6d4b\u8bd5<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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1950\u5e74\uff0c\u963f\u5170\u00b7\u56fe\u7075<\/span>\uff08Alan Turing\uff09<\/span>\u63d0\u51fa\u4e86\u6a21\u4eff\u6e38\u620f<\/span> (Turing 1950)<\/span>\uff0c\u4ee5\u6d4b\u8bd5\u673a\u5668\u662f\u5426\u80fd\u8868\u73b0\u51fa\u4e0e\u4eba\u7c7b\u884c\u4e3a\u76f8\u5f53\u6216\u8005\u65e0\u6cd5\u533a\u5206\u7684\u667a\u80fd\u3002\u90a3\u573a\u6bd4\u8d5b\uff0c\u73b0\u5728\u5e7f\u6cdb\u88ab\u79f0\u4e3a\u56fe\u7075\u6d4b\u8bd5 <\/span>(Turing test) <\/span>\uff0c\u5728\u6bd4\u8d5b\u4e2d\uff0c\u673a\u5668\u88ab\u8bad\u7ec3\u6765\u6a21\u4eff\u4eba\u7c7b\u7684\u53cd\u5e94\uff0c\u5e76\u8981\u6c42\u4eba\u7c7b\u88c1\u5224\u8bc4\u4f30\u771f\u4eba\u548c\u673a\u5668\u4e4b\u95f4\u7684\u5bf9\u8bdd\u7684\u81ea\u7136\u7a0b\u5ea6\u3002\u56fe\u7075\u63d0\u51fa\uff0c\u4e0e\u5176\u5177\u4f53\u5730\u8bf4\u673a\u5668\u662f\u5426\u4f1a\u201c\u601d\u8003\u201d<\/span>\uff08\u4ed6\u8ba4\u4e3a\u8fd9\u662f\u4e00\u4e2a\u4e0d\u53ef\u80fd\u56de\u7b54\u7684\u95ee\u9898\uff09<\/span>\uff0c\u53ef\u4ee5\u5bf9\u201c\u673a\u5668\u4f1a\u601d\u8003\u5417\u201d\u8fd9\u4e2a\u95ee\u9898\u8fdb\u884c\u5408\u7406\u66ff\u4ee3\uff0c\u5982\u6211\u4eec\u80fd\u5426\u533a\u5206\u673a\u5668\u4e0e\u4eba\u7c7b\u7684\u4f1a\u8bdd\u80fd\u529b\u6765\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\u3002\u56fe\u7075\u6d4b\u8bd5\u9690\u542b\u7740\u8fd9\u6837\u4e00\u79cd\u4fe1\u5ff5\uff0c\u5373\u8bed\u8a00\u4ee3\u8868\u4e86\u4eba\u7c7b\u667a\u6167\u7684\u9876\u5cf0\uff0c\u80fd\u591f\u8fdb\u884c\u5bf9\u8bdd\u7684\u673a\u5668\u4e00\u5b9a\u662f\u667a\u80fd\u7684\u3002\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\uff0c\u56fe\u7075\u662f\u5bf9\u7684\uff0c\u4f46\u5728\u53e6\u4e00\u65b9\u9762\uff0c\u4ed6\u662f\u9519\u7684\u3002\u867d\u7136\u6ca1\u6709\u4e00\u4e2a\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u901a\u8fc7\u4e86\u56fe\u7075\u6d4b\u8bd5\uff0c\u4f46\u6700\u8fd1\uff0c\u5355\u7eaf\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u8bed\u8a00\u7cfb\u7edf\u53ef\u4ee5\u8fdb\u884c\u4ee4\u4eba\u60ca\u8bb6\u7684\u548c\u4ee4\u4eba\u4fe1\u670d\u7684\u5bf9\u8bdd\u3002\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u7684\u6210\u529f\u63ed\u793a\u4e86\u6211\u4eec\u591a\u4e48\u5bb9\u6613\u88ab\u9a97\uff0c\u4ece\u800c\u5c06\u667a\u529b\u3001\u80fd\u52a8\u6027\u751a\u81f3\u610f\u8bc6\u5f52\u56e0\u4e8e\u6211\u4eec\u7684\u5bf9\u8bdd\u8005<\/span> (Sejnowski 2022)<\/span> \u3002\u53e6\u4e00\u4e2a\u539f\u56e0\u662f\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u5728\u67d0\u4e9b\u63a8\u7406\u4efb\u52a1\u4e0a\u4ecd\u7136\u5f88\u5dee<\/span> (Kosoy et al. 11–13 Apr 2022) <\/span>\u3002\u5c3d\u7ba1\u6700\u8fd1\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\uff0c\u4f46\u5b83\u4eec\u7684\u5931\u8d25\u4e5f\u7a81\u663e\u51fa\u56fe\u7075\u5ffd\u89c6\u4e86\u4e00\u4e2a\u4e8b\u5b9e\uff0c\u5373\u667a\u529b\u8fdc\u4e0d\u6b62\u4e8e\u8bed\u8a00<\/strong>\u3002\u5f53\u524d\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7cfb\u7edf\u6240\u72af\u7684\u8bb8\u591a\u9519\u8bef\u8bf4\u660e\u4e86\u7cfb\u7edf\u5728\u8bed\u4e49\u3001\u56e0\u679c\u63a8\u7406\u548c\u5e38\u8bc6\u7b49\u65b9\u9762\u7684\u6839\u672c\u7f3a\u4e4f\u3002\u8bcd\u6c47\u53ea\u6709\u5728\u7edf\u8ba1\u4e0a\u5171\u540c\u51fa\u73b0\u65f6\u624d\u5bf9\u6a21\u578b\u6709\u610f\u4e49\uff0c\u800c\u4e0d\u662f\u57fa\u4e8e\u73b0\u5b9e\u4e16\u754c\u7684\u7ecf\u9a8c\uff0c\u6240\u4ee5\u5373\u4fbf\u662f\u6700\u5148\u8fdb\u7684\u8bed\u8a00\u6a21\u578b\u529f\u80fd\u8d8a\u6765\u8d8a\u5f3a\uff0c\u4f46\u4ed6\u4eec\u4ecd\u65e0\u6cd5\u5177\u5907\u4e00\u4e9b\u57fa\u672c\u7684\u7269\u7406\u5e38\u8bc6\u3002\u56e0\u6b64\uff0c\u6700\u521d\u5236\u5b9a\u7684\u56fe\u7075\u6d4b\u8bd5\uff0c\u5e76\u6ca1\u6709\u63a2\u7d22\u50cf\u52a8\u7269\u4e00\u6837\uff0c\u4ee5\u7075\u6d3b\u7684\u65b9\u5f0f\u7406\u89e3\u7269\u7406\u4e16\u754c\u7684\u80fd\u529b\u3002\u6b64\u5916\uff0c\u8fd9\u79cd\u5bf9\u4e16\u754c\u7684\u7406\u89e3\u5f88\u53ef\u80fd\u5efa\u7acb\u5728\u6211\u4eec\u5728\u65e0\u6570\u4ee3\u7684\u81ea\u7136\u7b5b\u9009\u4e2d\u8fdb\u5316\u51fa\u7684\u611f\u77e5\u8fd0\u52a8\u80fd\u529b\u57fa\u7840\u4e0a\u3002<\/span><\/section>\n

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\u56e0\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u62d3\u5c55\u7684\u56fe\u7075\u6d4b\u8bd5\uff0c\u5305\u62ec\u9ad8\u7ea7\u611f\u89c9\u8fd0\u52a8\u80fd\u529b\u7684\u6d4b\u8bd5\u3002\u6700\u521d\u7684\u56fe\u7075\u6d4b\u8bd5\u5efa\u7acb\u4e86\u4e00\u4e2a\u5b9a\u6027\u6807\u51c6\u4f7f\u6211\u4eec\u53ef\u4ee5\u5224\u65ad\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u5c55\u7a0b\u5ea6\u3002\u62d3\u5c55\u7684\u201c\u5177\u8eab\u56fe\u7075\u6d4b\u8bd5\u201d\u5c06\u5bf9\u4eba\u5de5\u7cfb\u7edf\u4e0e\u4eba\u7c7b\u548c\u5176\u4ed6\u52a8\u7269\u7684\u4ea4\u4e92\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\u548c\u6bd4\u8f83<\/strong>\u3002\u4f9d\u636e\u6bcf\u79cd\u52a8\u7269\u81ea\u5df1\u72ec\u7279\u7684\u80fd\u529b\u5b9a\u4e49\u4e86\u5404\u81ea\u7684\u56fe\u7075\u6d4b\u8bd5\uff1a\u4eba\u9020\u6d77\u72f8\u53ef\u4ee5\u6d4b\u8bd5\u5176\u7b51\u575d\u7684\u80fd\u529b\uff0c\u4eba\u9020\u677e\u9f20\u53ef\u4ee5\u6d4b\u8bd5\u5176\u7a7f\u8d8a\u6811\u6728\u7684\u80fd\u529b\u3002\u5c3d\u7ba1\u5982\u6b64\uff0c\u51e0\u4e4e\u6240\u6709\u52a8\u7269\u90fd\u6709\u8bb8\u591a\u6838\u5fc3\u7684\u611f\u89c9\u8fd0\u52a8\u80fd\u529b\uff0c\u8fd9\u4e9b\u6838\u5fc3\u6280\u80fd\u4e3a\u52a8\u7269\u5feb\u901f\u8fdb\u5316\u9002\u5e94\u65b0\u73af\u5883\u63d0\u4f9b\u4e86\u575a\u5b9e\u7684\u57fa\u7840\u3002\u4e0b\u9762\u6211\u4eec\u91cd\u70b9\u4ecb\u7ecd\u5176\u4e2d\u4e00\u4e9b\u5171\u540c\u70b9\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4e0e\u4e16\u754c\u4e92\u52a8<\/span><\/strong>\u3002\u52a8\u7269\u7684\u663e\u8457\u7279\u5f81\u5728\u4e8e\u80fd\u591f\u6709\u76ee\u7684\u7684\u56db\u5904\u8d70\u52a8\u5e76\u4e0e\u73af\u5883\u4e92\u52a8\u3002\u5c3d\u7ba1\u6700\u8fd1\u5728\u4f18\u5316\u63a7\u5236\u3001\u5f3a\u5316\u5b66\u4e60\u548c\u6a21\u62df\u5b66\u4e60\u65b9\u9762\u53d6\u5f97\u4e86\u8fdb\u5c55\uff0c\u4f46\u673a\u5668\u4eba\u5728\u63a7\u5236\u8eab\u4f53\u548c\u64cd\u7eb5\u7269\u4f53\u65b9\u9762\u4ecd\u672a\u8fbe\u5230\u52a8\u7269\u7ea7\u522b\u7684\u80fd\u529b\uff0c\u5373\u4f7f\u662f\u6a21\u62df\u7684\u7a0b\u5ea6\u4e5f\u8fbe\u4e0d\u5230<\/span> (Merel, Botvinick, and Wayne 2019) <\/span>\u3002\u5f53\u7136\uff0c\u795e\u7ecf\u79d1\u5b66\u53ef\u4ee5\u63d0\u4f9b\u5173\u4e8e\u6a21\u5757\u5316\u548c\u5206\u5c42\u67b6\u6784\u7684\u6307\u5bfc\uff0c\u8fd9\u4e9b\u67b6\u6784\u5e94\u7528\u4e8e\u4eba\u5de5\u7cfb\u7edf\u4ee5\u8d4b\u4e88\u4eba\u5de5\u7cfb\u7edf\u8fd9\u4e9b\u80fd\u529b\u3002\u795e\u7ecf\u79d1\u5b66\u8fd8\u53ef\u4ee5\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e00\u4e9b\u8bbe\u8ba1\u539f\u5219\uff0c\u4f8b\u5982\u90e8\u5206\u81ea\u4e3b<\/span>\uff08\u5728\u6ca1\u6709\u9ad8\u7ea7\u6a21\u5757\u8f93\u5165\u7684\u60c5\u51b5\u4e0b\uff0c\u5c42\u7ea7\u4e2d\u7684\u4f4e\u7ea7\u6a21\u5757\u5982\u4f55\u534a\u81ea\u4e3b\u5730\u5de5\u4f5c\uff09<\/span>\u548c\u644a\u9500\u63a7\u5236<\/span>\uff08\u7f13\u6162\u89c4\u5212\u8fc7\u7a0b\u4e2d\u4ea7\u751f\u7684\u521d\u59cb\u8fd0\u52a8\u5982\u4f55\u6700\u7ec8\u8f6c\u79fb\u5230\u5feb\u901f\u53cd\u5c04\u7cfb\u7edf\uff09<\/span>\u3002\u4e86\u89e3\u7279\u5b9a\u7684\u795e\u7ecf\u56de\u8def\u5982\u4f55\u53c2\u4e0e\u4e0d\u540c\u7684\u4efb\u52a1\uff0c\u6bd4\u5982\u8fd0\u52a8\u548c\u5bf9\u80a2\u4f53\u3001\u624b\u53ca\u624b\u6307\u7684\u7cbe\u7ec6\u63a7\u5236\uff0c\u611f\u77e5\u89c9\u548c\u884c\u52a8\u9009\u62e9\uff0c\u53ef\u80fd\u4e3a\u673a\u5668\u4eba\u5982\u4f55\u5b9e\u73b0\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u63d0\u4f9b\u4e86\u9014\u5f84\uff0c\u4e5f\u53ef\u80fd\u4e3a\u5176\u4ed6\u5f62\u5f0f\u7684\u201c\u667a\u80fd\u201d\u63d0\u4f9b\u89e3\u51b3\u65b9\u6848\uff0c\u5305\u62ec\u66f4\u591a\u7684\u8ba4\u77e5\u9886\u57df\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u63a8\u6d4b\uff0c\u4f4e\u6c34\u5e73\u8fd0\u52a8\u63a7\u5236\u7684\u795e\u7ecf\u73af\u8def\u539f\u7406\u6709\u52a9\u4e8e\u4e3a\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4e2d\u7684\u9ad8\u6c34\u5e73\u8fd0\u52a8\u89c4\u5212\u63d0\u4f9b\u66f4\u597d\u7684\u57fa\u7840\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u52a8\u7269\u884c\u4e3a\u7684\u7075\u6d3b\u6027<\/span><\/strong>\u3002\u53e6\u4e00\u4e2a\u76ee\u6807\u662f\u5f00\u53d1\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\uff0c\u8be5\u7cfb\u7edf\u80fd\u591f\u4ea7\u751f\u7c7b\u4f3c\u5355\u4e2a\u52a8\u7269\u7684\u884c\u4e3a\u8303\u56f4\uff0c\u4ece\u800c\u53c2\u4e0e\u5927\u91cf\u7075\u6d3b\u591a\u6837\u7684\u4efb\u52a1\u3002\u73b0\u4ee3AI\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u5b66\u4f1a\u5728\u50cfBreakout\u8fd9\u6837\u7684\u89c6\u9891\u6e38\u620f\u4e2d\u53ea\u9700\u4f7f\u7528\u50cf\u7d20\u548c\u6e38\u620f\u5206\u6570\u4fe1\u606f\u8d85\u8d8a\u4eba\u7c7b<\/span> (Mnih et al. 2015)<\/span>\u3002\u7136\u800c\uff0c\u4e0e\u4eba\u7c7b\u73a9\u5bb6\u4e0d\u540c\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u662f\u8106\u5f31\u7684\uff0c\u5bf9\u5c0f\u6270\u52a8\u9ad8\u5ea6\u654f\u611f\uff1a\u7a0d\u5fae\u6539\u53d8\u6e38\u620f\u89c4\u5219\uff0c\u751a\u81f3\u662f\u8f93\u5165\u4e2d\u7684\u51e0\u4e2a\u50cf\u7d20\uff0c\u90fd\u53ef\u80fd\u5bfc\u81f4\u707e\u96be\u6027\u7684\u6027\u80fd\u4e0b\u964d<\/span> (Huang et al. 2017)<\/span>\u3002\u8fd9\u662f\u56e0\u4e3a\u8fd9\u4e9b\u7cfb\u7edf\u5b66\u4e60\u4ece\u50cf\u7d20\u5230\u52a8\u4f5c\u7684\u6620\u5c04\uff0c\u4e0d\u9700\u8981\u7406\u89e3\u6e38\u620f\u4e2d\u7684\u667a\u80fd\u4f53\u548c\u5bf9\u8c61\u4ee5\u53ca\u652f\u914d\u5b83\u4eec\u7684\u7269\u7406\u89c4\u5f8b\u3002\u540c\u6837\uff0c\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\u672c\u8eab\u5e76\u4e0d\u77e5\u9053\u524d\u9762\u5361\u8f66\u4e0a\u7684\u677f\u6761\u7bb1\u6389\u843d\u7684\u5371\u9669\uff0c\u9664\u975e\u5b83\u786e\u5b9e\u770b\u5230\u8fc7\u5361\u8f66\u4e0a\u7684\u677f\u6761\u7bb1\u6389\u843d\u5bfc\u81f4\u4e0d\u826f\u540e\u679c\u7684\u4f8b\u5b50\u3002\u800c\u4e14\uff0c\u5373\u4f7f\u5b83\u5df2\u7ecf\u63a5\u53d7\u8fc7\u5173\u4e8e\u7bb1\u5b50\u6389\u843d\u5371\u9669\u6027\u7684\u8bad\u7ec3\uff0c\u7cfb\u7edf\u53ef\u80fd\u4f1a\u628a\u524d\u9762\u6c7d\u8f66\u91cc\u5439\u51fa\u6765\u7684\u4e00\u4e2a\u7a7a\u5851\u6599\u888b\u89c6\u4e3a\u4e00\u79cd\u969c\u788d\uff0c\u4ece\u800c\u4e0d\u60dc\u4e00\u5207\u4ee3\u4ef7\u907f\u514d\uff0c\u56e0\u4e3a\u5b83\u5b9e\u9645\u4e0a\u4e0d\u77e5\u9053\u5851\u6599\u888b\u662f\u4ec0\u4e48\uff0c\u4e5f\u4e0d\u77e5\u9053\u5b83\u5728\u7269\u7406\u4e0a\u6709\u6ca1\u6709\u5a01\u80c1\u3002\u8fd9\u79cd\u65e0\u6cd5\u5904\u7406\u8bad\u7ec3\u6570\u636e\u4e2d\u672a\u51fa\u73b0\u573a\u666f\u7684\u60c5\u51b5\uff0c\u662f\u5bf9\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u5e7f\u6cdb\u5e94\u7528\u7684\u4e00\u4e2a\u91cd\u5927\u6311\u6218\u3002<\/span><\/section>\n

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\u8981\u60f3\u5728\u4e00\u4e2a\u4e0d\u53ef\u9884\u77e5\u548c\u4e0d\u65ad\u53d8\u5316\u7684\u4e16\u754c\u4e2d\u53d6\u5f97\u6210\u529f\uff0c\u667a\u80fd\u4f53\u5fc5\u987b\u7075\u6d3b\uff0c\u5e76\u901a\u8fc7\u4f7f\u7528\u5176\u5173\u4e8e\u6b64\u7c7b\u60c5\u51b5\u53ef\u80fd\u5982\u4f55\u8fdb\u884c\u7684\u4e00\u822c\u77e5\u8bc6\u6765\u638c\u63e1\u65b0\u60c5\u51b5\u3002\u8fd9\u53ef\u4ee5\u8bf4\u662f\u52a8\u7269\u7684\u884c\u4e3a\u3002\u52a8\u7269\u5929\u751f\u5c31\u5177\u5907\u8301\u58ee\u6210\u957f\u6240\u9700\u7684\u5927\u90e8\u5206\u6280\u80fd\uff0c\u6216\u8005\u53ef\u4ee5\u4ece\u6709\u9650\u7684\u7ecf\u9a8c\u4e2d\u8fc5\u901f\u83b7\u5f97\u8fd9\u4e9b\u6280\u80fd\uff0c\u8fd9\u5f97\u76ca\u4e8e\u5b83\u4eec\u5728\u8fdb\u5316\u548c\u53d1\u5c55\u8fc7\u7a0b\u4e2d\u5728\u73b0\u5b9e\u4e16\u754c\u4e92\u52a8\u65b9\u9762\u7684\u5f3a\u5927\u57fa\u7840<\/span> (Zador 2019)<\/span>\u3002\u56e0\u6b64\uff0c\u4e3a\u4e00\u9879\u7279\u5b9a\u4efb\u52a1\u4ece\u96f6\u5f00\u59cb\u8bad\u7ec3\u5e76\u4e0d\u662f\u52a8\u7269\u83b7\u5f97\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\u7684\u6280\u80fd\u7684\u65b9\u5f0f\uff1b\u52a8\u7269\u5e76\u4e0d\u662f\u4e00\u65e0\u6240\u6709\u7684\u6765\u5230\u8fd9\u4e2a\u4e16\u754c\u4e0a\uff0c\u7136\u540e\u4f9d\u9760\u5927\u578b\u6807\u8bb0\u8bad\u7ec3\u96c6\u6765\u5b66\u4e60\u3002\u5c3d\u7ba1\u673a\u5668\u5b66\u4e60\u4e00\u76f4\u5728\u5bfb\u6c42\u7ed5\u8fc7\u8fd9\u79cd\u9650\u5236\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u81ea\u6211\u76d1\u7763\u5b66\u4e60\u3001\u8fc1\u79fb\u5b66\u4e60\u3001\u6301\u7eed\u5b66\u4e60\u3001\u5143\u5b66\u4e60\u3001\u4e00\u6b21\u6027\u5b66\u4e60\u548c\u6a21\u4eff\u5b66\u4e60 <\/span>(Bommasani et al. 2021)<\/span>\uff0c\u4f46\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u65e0\u6cd5\u5b9e\u73b0\u5927\u591a\u6570\u52a8\u7269\u8eab\u4e0a\u7684\u7075\u6d3b\u6027\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0c\u4e3a\u73b0\u5b9e\u4e16\u754c<\/span> (\u751a\u81f3\u662f\u7b80\u5355\u52a8\u7269)<\/span> \u7684\u884c\u4e3a\u7075\u6d3b\u6027\u63d0\u4f9b\u57fa\u7840\u7684\u795e\u7ecf\u73af\u8def\u539f\u7406\uff0c\u6709\u53ef\u80fd\u6781\u5927\u589e\u52a0\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u7075\u6d3b\u6027\u548c\u5b9e\u7528\u6027\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u901a\u8fc7\u5229\u7528\u8fdb\u5316\u5df2\u7ecf\u53c2\u4e0e\u7684\u4f18\u5316\u8fc7\u7a0b\uff0c\u6211\u4eec\u53ef\u4ee5\u5927\u5927\u52a0\u5feb\u5bf9\u7528\u4e8e\u73b0\u5b9e\u4e16\u754c\u4e92\u52a8\u7684\u901a\u7528\u73af\u8def\u7684\u641c\u7d22<\/span> (Gupta et al. 2021; St\u00f6ckl, Lang, and Maass 2022; Koulakov et al. 2022; Stanley et al. 2019; Pehlevan and Chklovskii 2019)<\/span>\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u80fd\u6e90\u6548\u7387<\/span><\/strong>\u3002\u73b0\u4ee3\u4eba\u5de5\u667a\u80fd\u9762\u4e34\u7684\u4e00\u4e2a\u91cd\u8981\u6311\u6218\u662f\u80fd\u6e90\u6548\u7387\uff0c\u800c\u6211\u4eec\u7684\u5927\u8111\u5df2\u7ecf\u514b\u670d\u4e86\u8fd9\u4e00\u6311\u6218\u3002\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u9700\u8981\u5927\u91cf\u7684\u80fd\u6e90\u3002\u4f8b\u5982\uff0c\u8bad\u7ec3GPT-3\u7b49\u5927\u578b\u8bed\u8a00\u6a21\u578b\u9700\u8981\u8d85\u8fc71000\u5146\u74e6\u65f6\u7684\u7535\u529b\u80fd\u6e90\uff0c\u8db3\u4ee5\u4e3a\u4e00\u4e2a\u5c0f\u9547\u4f9b\u7535\u4e00\u5929<\/span> (Patterson et al. 2021) <\/span>\u3002\u7528\u4e8e\u8bad\u7ec3\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u603b\u80fd\u91cf\u5f88\u5927\uff0c\u800c\u4e14\u589e\u957f\u8fc5\u901f\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u751f\u7269\u7cfb\u7edf\u7684\u80fd\u91cf\u6548\u7387\u8981\u9ad8\u5f97\u591a\uff1a\u4eba\u8111\u7ea620\u74e6 <\/span>(Sokoloff 1960)<\/span>\u3002\u5927\u8111\u548c\u8ba1\u7b97\u673a\u4e4b\u95f4\u80fd\u91cf\u9700\u6c42\u7684\u5dee\u5f02\u6e90\u4e8e\u4fe1\u606f\u5904\u7406\u7684\u5dee\u5f02\u3002\u9996\u5148\uff0c\u5728\u7b97\u6cd5\u5c42\u9762\u4e0a\uff0c\u73b0\u4ee3\u5927\u89c4\u6a21\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff0c\u4f8b\u5982\u5927\u8bed\u8a00\u6a21\u578b <\/span>(Brown et al. 2020)<\/span>\uff0c\u4f9d\u8d56\u4e8e\u975e\u5e38\u5927\u7684\u524d\u9988\u67b6\u6784\uff0c\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\uff0c\u5b9e\u73b0\u81ea\u6211\u5173\u6ce8 <\/span>(Vaswani et al. 2017)<\/span>\uff0c\u5ffd\u7565\u4e86\u5904\u7406\u9012\u5f52\u987a\u5e8f\u4fe1\u606f\u7684\u6f5c\u5728\u80fd\u529b\u3002\u539f\u56e0\u4e4b\u4e00\u662f\u76ee\u524d\u6211\u4eec\u5728\u5faa\u73af\u7f51\u7edc\u4e2d\u8fd8\u6ca1\u6709\u6709\u6548\u7684\u4fe1\u7528\u5206\u914d\u8ba1\u7b97\u673a\u5236\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5927\u8111\u5229\u7528\u7075\u6d3b\u7684\u5faa\u73af\u4f53\u7cfb\u7ed3\u6784\u6765\u5904\u7406\u968f\u65f6\u95f4\u53d8\u5316\u7684\u5e8f\u5217\uff0c\u663e\u7136\u53ef\u4ee5\u9ad8\u6548\u5730\u89e3\u51b3\u4fe1\u7528\u5206\u914d\u95ee\u9898\u2014\u2014\u751a\u81f3\u6bd4\u5f53\u524d\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u4e2d\u4f7f\u7528\u7684\u524d\u9988\u4fe1\u7528\u5206\u914d\u673a\u5236\u66f4\u6709\u6548\u3002\u5982\u679c\u6211\u4eec\u53ef\u4ee5\u7528\u5927\u8111\u6765\u6307\u5bfc\u5982\u4f55\u4e3a\u5faa\u73af\u9898\u5199\u8bbe\u8ba1\u6709\u6548\u7684\u8bad\u7ec3\u673a\u5236\uff0c\u90a3\u4e48\u6211\u4eec\u5c31\u6709\u53ef\u80fd\u63d0\u9ad8\u5904\u7406\u987a\u5e8f\u6570\u636e\u7684\u80fd\u529b\uff0c\u540c\u65f6\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6211\u4eec\u7cfb\u7edf\u7684\u80fd\u6e90\u6548\u7387\u3002\u5176\u6b21\uff0c\u5728\u5b9e\u73b0\u5c42\u9762\uff0c\u751f\u7269\u795e\u7ecf\u5143\u4e3b\u8981\u901a\u8fc7\u4f20\u8f93\u52a8\u4f5c\u7535\u4f4d(\u5cf0\u503c)\u8fdb\u884c\u4ea4\u4e92\uff0c\u8fd9\u662f\u4e00\u79cd\u5f02\u6b65\u901a\u4fe1\u534f\u8bae\u3002\u5c31\u50cf\u4f20\u7edf\u6570\u5b57\u5143\u7d20\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u4e00\u6837\uff0c\u795e\u7ecf\u5143\u7684\u8f93\u51fa\u53ef\u4ee5\u88ab\u89c6\u4e3a\u4e00\u4e320\u548c1\uff1b\u4f46\u4e0e\u6570\u5b57\u8ba1\u7b97\u673a\u4e0d\u540c\u7684\u662f\uff0c\u201c1\u201d(\u5373\u5cf0\u503c)\u7684\u80fd\u91cf\u6210\u672c\u6bd4\u201c0\u201d\u9ad8\u51e0\u4e2a\u6570\u91cf\u7ea7<\/span> (Attwell and Laughlin 2001)<\/span>\u3002\u56e0\u4e3a\u751f\u7269\u73af\u8def\u5728\u5cf0\u503c\u7a00\u758f\u7684\u72b6\u6001\u4e0b\u8fd0\u884c\u2014\u2014\u5373\u4f7f\u975e\u5e38\u6d3b\u8dc3\u7684\u795e\u7ecf\u5143\u4e5f\u5f88\u5c11\u5728\u4e00\u4e2a\u5de5\u4f5c\u5faa\u73af\u4e2d\u8d85\u8fc710%\uff0c\u800c\u4e14\u5927\u591a\u6570\u795e\u7ecf\u5143\u7684\u8fd0\u884c\u901f\u7387\u8981\u4f4e\u5f97\u591a\uff0c\u56e0\u6b64\u5b83\u4eec\u7684\u80fd\u91cf\u6548\u7387\u8981\u9ad8\u5f97\u591a(Lennie 2003)\u3002<\/span><\/section>\n

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\u6b64\u5916\uff0c\u5176\u4ed6\u56e0\u7d20\u53ef\u80fd\u6709\u52a9\u4e8e\u63d0\u9ad8\u751f\u7269\u7f51\u7edc\u80fd\u6e90\u6548\u7387\u3002\u4f8b\u5982\uff0c\u751f\u7269\u7f51\u7edc\u53ef\u4ee5\u6709\u6548\u5730\u8fdb\u884c\u8ba1\u7b97\uff0c\u5373\u4f7f\u5176\u4e2d\u4e00\u4e9b\u7ec4\u4ef6\u9ad8\u5ea6\u4e0d\u53ef\u9760\u6216\u201c\u6709\u566a\u97f3\u201d\u3002\u795e\u7ecf\u5143\u4e4b\u95f4\u901a\u8fc7\u7a81\u89e6\u8fdb\u884c\u4ea4\u6d41\uff0c\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u4e0d\u53ef\u9760\uff0c\u6bcf10\u6761\u4fe1\u606f\u4e2d\u53ea\u67091\u6761\u88ab\u4f20\u8f93<\/span> (Dobrunz and Stevens 1997)<\/span>\u3002\u5728\u7ec4\u7ec7\u73af\u8def\u65f6\uff0c\u5c16\u5cf0\u5e8f\u5217\u4e5f\u662f\u9ad8\u5ea6\u53ef\u53d8\u7684\uff0c\u8fd9\u4e00\u7279\u6027\u53ef\u80fd\u5141\u8bb8\u795e\u7ecf\u73af\u8def\u6267\u884c\u6982\u7387\u63a8\u7406\uff0c\u8fd9\u662f\u5728\u5b58\u5728\u4e0d\u786e\u5b9a\u6027\u65f6\u7684\u4e00\u79cd\u9c81\u68d2\u8ba1\u7b97\u5f62\u5f0f<\/span> (Ma et al. 2006)<\/span>\u3002\u5f53\u524d\u7814\u7a76\u8005\u4eec\u6b63\u5728\u52aa\u529b\u5f00\u53d1\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u6f5c\u529b<\/span> (Davies et al. 2018; DeBole et al. 2019)<\/span>\uff0c\u4f46\u76ee\u524d\u4e3a\u6b62\u8fd8\u6ca1\u6709\u6740\u624b\u7ea7\u7684\u5e94\u7528\u8868\u660e\u8fd9\u4e9b\u7f51\u7edc\u80fd\u591f\u4ee5\u751f\u7269\u7ea7\u522b\u7684\u80fd\u6548\u8fd0\u884c\u3002\u4e3b\u8981\u95ee\u9898\u5f52\u7ed3\u4e3a\u76ee\u524d\u7684\u201c\u795e\u7ecf\u5f62\u6001\u82af\u7247\u201d\u65e2\u4e0d\u80fd\u590d\u5236\u5148\u5929\u7684\u795e\u7ecf\u73af\u8def\u529f\u80fd\uff0c\u4e5f\u4e0d\u5bb9\u6613\u8bad\u7ec3<\/span> (Roy, Jaiswal, and Panda 2019)<\/span>\u3002\u56e0\u6b64\uff0c\u867d\u7136\u8109\u51b2\u8ba1\u7b97\u7684\u65b9\u5f0f\u66f4\u8282\u80fd\uff0c\u4f46\u7528\u5904\u8fdc\u4e0d\u5982\u8017\u80fd\u5de8\u5927\u7684\u6570\u5b57\u7f51\u7edc\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0c\u5728AI\u4e2d\u83b7\u5f97\u66f4\u9ad8\u7684\u80fd\u6e90\u6548\u7387\u4e0d\u4ec5\u53ef\u4ee5\u901a\u8fc7\u501f\u9274\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u601d\u60f3\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u63d0\u4f9b\u5177\u6709\u5148\u5929\u795e\u7ecf\u73af\u8def\u529f\u80fd\u548c\u5b66\u4e60\u89c4\u5219\u7684\u795e\u7ecf\u5f62\u6001\u82af\u7247\u5b9e\u73b0\u3002<\/span><\/section>\n

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\u89e3\u51b3\u5177\u8eab\u56fe\u7075\u6d4b\u8bd5\u7684\u8def\u7ebf\u56fe<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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

<\/section>\n
\u5982\u4f55\u5f00\u53d1\u80fd\u591f\u901a\u8fc7\u5177\u8eab\u56fe\u7075\u6d4b\u8bd5\u7684\u4eba\u5de5\u7cfb\u7edf\uff1f\u4e00\u79cd\u81ea\u7136\u7684\u65b9\u6cd5\u662f\u5728\u4eba\u7c7b\u8fdb\u5316\u53f2\u7684\u6307\u5bfc\u4e0b\u5faa\u5e8f\u6e10\u8fdb\u5730\u8fdb\u884c\u3002\u4f8b\u5982\uff0c\u51e0\u4e4e\u6240\u6709\u7684\u52a8\u7269\u90fd\u4ece\u4e8b\u76ee\u6807\u5bfc\u5411\u8fd0\u52a8\uff1b\u5b83\u4eec\u4f1a\u671d\u7740\u67d0\u4e9b\u523a\u6fc0<\/span> (\u5982\u98df\u7269\u6765\u6e90)<\/span> \u79fb\u52a8\uff0c\u800c\u8fdc\u79bb\u5176\u4ed6\u523a\u6fc0<\/span> (\u5982\u5a01\u80c1)<\/span>\u3002\u5728\u8fd9\u4e9b\u57fa\u7840\u80fd\u529b\u4e4b\u4e0a\u662f\u66f4\u590d\u6742\u7684\u6280\u80fd\uff0c\u5982\u7ed3\u5408\u4e0d\u540c\u611f\u5b98\u4fe1\u606f\u6d41<\/span> (\u5982\u89c6\u89c9\u548c\u55c5\u89c9) <\/span>\u7684\u80fd\u529b\uff0c\u4f7f\u7528\u8fd9\u4e9b\u611f\u5b98\u4fe1\u606f\u6765\u533a\u5206\u98df\u7269\u6765\u6e90\u548c\u5a01\u80c1\uff0c\u5bfc\u822a\u5230\u4e4b\u524d\u7684\u4f4d\u7f6e\uff0c\u6743\u8861\u53ef\u80fd\u7684\u5956\u52b1\u548c\u5a01\u80c1\u4ee5\u5b9e\u73b0\u76ee\u6807\uff0c\u5e76\u4ee5\u7cbe\u786e\u7684\u65b9\u5f0f\u4e0e\u4e16\u754c\u4e92\u52a8\uff0c\u4ee5\u670d\u52a1\u4e8e\u6700\u7ec8\u76ee\u6807\u3002\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\uff0c\u5373\u4f7f\u662f\u975e\u5e38\u7b80\u5355\u7684\u751f\u7269\uff0c\u5982\u8815\u866b\uff0c\u4e5f\u80fd\u53d1\u73b0\u5176\u5177\u5907\u8bb8\u591a\u590d\u6742\u7684\u80fd\u529b\u3002\u5728\u66f4\u590d\u6742\u7684\u52a8\u7269\u4e2d\uff0c\u5982\u9c7c\u7c7b\u548c\u54fa\u4e73\u52a8\u7269\uff0c\u8fd9\u4e9b\u80fd\u529b\u88ab\u7cbe\u5fc3\u8bbe\u8ba1\uff0c\u5e76\u4e0e\u65b0\u7684\u7b56\u7565\u76f8\u7ed3\u5408\uff0c\u4ece\u800c\u5f62\u6210\u66f4\u5f3a\u5927\u7684\u884c\u4e3a\u7b56\u7565\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u8fdb\u5316\u8bba\u89c6\u89d2\u63d0\u51fa\u4e86\u4e00\u79cd\u89e3\u51b3\u5177\u8eab\u56fe\u7075\u6d4b\u8bd5\u7684\u7b56\u7565\uff0c\u5373\u5c06\u5176\u5206\u89e3\u4e3a\u4e00\u7cfb\u5217\u76f8\u4e92\u6784\u5efa\u7684\u6311\u6218\u6027\u589e\u91cf\u6d4b\u8bd5\uff0c\u5e76\u5728\u8fd9\u4e2a\u57fa\u7840\u4e0a\u8fed\u4ee3\u4f18\u5316<\/span> (Cisek and Hayden 2022)<\/span>\u3002\u6b64\u5916\uff0c\u4ee3\u8868\u4f4e\u7ea7\u548c\u4e2d\u7ea7\u6d4b\u8bd5\u6311\u6218\u7684\u751f\u7269\u4f53\u53ef\u80fd\u5305\u62ec\u8815\u866b\u3001\u82cd\u8747\u3001\u9c7c\u7c7b\u3001\u556e\u9f7f\u52a8\u7269\u548c\u7075\u957f\u7c7b\u52a8\u7269\uff0c\u5b83\u4eec\u662f\u795e\u7ecf\u79d1\u5b66\u7814\u7a76\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u6a21\u5f0f\u751f\u7269\u3002\u6211\u4eec\u5728\u8fd9\u4e9b\u6a21\u5f0f\u751f\u7269\u884c\u4e3a\u795e\u7ecf\u73af\u8def\u548c\u884c\u4e3a\u673a\u5236\u7684\u57fa\u7840\u4e0a\u901a\u8fc7\u8ba1\u7b97\u673a\u8fdb\u884c\u7814\u7a76\uff0c\u6784\u5efa\u865a\u62df\u73af\u5883\u548c\u865a\u62df\u751f\u7269 <\/span>(Merel, Botvinick, and Wayne 2019; Merel et al. 2019)<\/span>\u3002\u4e3a\u4e86\u8fbe\u5230\u6240\u8981\u6c42\u7684\u884c\u4e3a\u7075\u6d3b\u6027\u6c34\u5e73\uff0c\u901a\u8fc7\u56fe\u7075\u6d4b\u8bd5\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u5c06\u9762\u4e34\u4e00\u7cfb\u5217\u9488\u5bf9\u7269\u79cd\u7684\u6d4b\u8bd5\uff0c\u5305\u62ec\u81ea\u6211\u76d1\u7763\u5b66\u4e60\u3001\u6301\u7eed\u5b66\u4e60\u3001\u8fc1\u79fb\u5b66\u4e60\u3001\u5143\u5b66\u4e60\u548c\u7ec8\u8eab\u8bb0\u5fc6\u3002\u8fd9\u4e9b\u6311\u6218\u53ef\u4ee5\u6807\u51c6\u5316\uff0c\u4ee5\u4fbf\u5bf9\u8fdb\u5c55\u8fdb\u884c\u91cf\u5316\u3002\u6700\u7ec8\uff0c\u6210\u529f\u7684\u865a\u62df\u751f\u7269\u53ef\u4ee5\u5728\u673a\u5668\u4eba\u6280\u672f\u7684\u989d\u5916\u5e2e\u52a9\u4e0b\u9002\u5e94\u7269\u7406\u4e16\u754c\uff0c\u5e76\u7528\u4e8e\u89e3\u51b3\u73b0\u5b9e\u4e16\u754c\u7684\u95ee\u9898\u3002<\/span><\/section>\n

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\u6211\u4eec\u9700\u8981\u4ec0\u4e48\uff1f<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u5176\u6b21\uff0c\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u80fd\u591f\u5f00\u53d1\u548c\u6d4b\u8bd5\u8fd9\u4e9b\u865a\u62df\u667a\u80fd\u4f53\u7684\u5171\u4eab\u5e73\u53f0<\/strong>\u3002\u5728\u521b\u5efa\u4e00\u4e2a\u8fed\u4ee3\u7684\u3001\u5177\u4f53\u5316\u7684\u56fe\u7075\u6d4b\u8bd5\u548c\u8fdb\u5316\u4eba\u5de5\u6709\u673a\u4f53\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u65f6\uff0c\u6211\u4eec\u5c06\u9762\u4e34\u7684\u6700\u5927\u6280\u672f\u6311\u6218\u4e4b\u4e00\u662f\u8ba1\u7b97\u80fd\u529b\u3002\u76ee\u524d\uff0c\u5728\u4e13\u7528\u5206\u5e03\u5f0f\u786c\u4ef6\u4e0a\u9488\u5bf9\u5355\u4e2a\u5177\u4f53\u4efb\u52a1\u8bad\u7ec3\u4e00\u4e2a\u5927\u578b\u795e\u7ecf\u7f51\u7edc\u6a21\u578b<\/span>\uff08\u4f8b\u5982\u4e09\u7ef4\u7a7a\u95f4\uff09<\/span>\u53ef\u80fd\u9700\u8981\u6570\u5929\u65f6\u95f4<\/span> (Liu et al. 2021)<\/span>\u3002\u4e3a\u4e86\u8ba9\u591a\u4e2a\u7814\u7a76\u5c0f\u7ec4\u5728\u8d8a\u6765\u8d8a\u590d\u6742\u7684\u5177\u8eab\u56fe\u7075\u6d4b\u8bd5\u4e0a\u4e00\u8d77\u5de5\u4f5c\uff0c\u5728\u591a\u4ee3\u7684\u8fdb\u5316\u4e2d\u4f18\u5316\u548c\u8bc4\u4f30\u5927\u91cf\u7684\u667a\u80fd\u4f53\uff0c\u6211\u4eec\u9700\u8981\u5728\u5171\u4eab\u8ba1\u7b97\u5e73\u53f0\u4e0a\u8fdb\u884c\u5927\u91cf\u6295\u8d44\u3002\u5c31\u50cf\u7269\u7406\u5b66\u4e2d\u7684\u7c92\u5b50\u52a0\u901f\u5668\u6216\u5929\u6587\u5b66\u4e2d\u7684\u5927\u578b\u671b\u8fdc\u955c\u4e00\u6837\uff0c\u8fd9\u79cd\u5927\u89c4\u6a21\u7684\u5171\u4eab\u8d44\u6e90\u5bf9\u4e8e\u63a8\u52a8\u8111\u542f\u53d1\u7684AI\u7814\u7a76\u81f3\u5173\u91cd\u8981\u3002\u5b9e\u73b0\u8fd9\u4e2a\u76ee\u6807\u9700\u8981\u4e00\u4e2a\u5927\u578b\u7ec4\u7ec7\u7684\u52aa\u529b\uff0c\u8fd8\u9700\u8981\u653f\u5e9c\u548c\u6765\u81ea\u5de5\u4e1a\u754c\u7684\u652f\u6301\uff0c\u5176\u6838\u5fc3\u76ee\u6807\u662f\u5728\u52a8\u7269\u548c\u7c7b\u8111\u667a\u80fd\u4e0a\u9762\u53d6\u5f97\u8fdb\u6b65\u3002<\/span><\/section>\n

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\u5c3d\u7ba1\u795e\u7ecf\u79d1\u5b66\u5728\u63a8\u52a8AI\u53d1\u5c55\u65b9\u9762\u5386\u53f2\u60a0\u4e45\uff0c\u4e14\u672a\u6765\u53d1\u5c55\u7684\u6f5c\u529b\u5de8\u5927\uff0c\u4f46AI\u9886\u57df\u7684\u5f88\u591a\u5de5\u7a0b\u5e08\u548c\u8ba1\u7b97\u673a\u4e13\u5bb6\u5e76\u4e0d\u4e86\u89e3\u8fd9\u4e00\u6bb5\u5386\u53f2\uff0c\u4e5f\u9c9c\u6709\u4e86\u89e3\u7684\u673a\u4f1a\u3002\u5728\u5178\u578b\u7684\u8ba1\u7b97\u673a\u8bfe\u7a0b\u4e2d\uff0c\u5f88\u5c11\u63d0\u5230\u795e\u7ecf\u79d1\u5b66\u5bf9\u51af\u00b7\u8bfa\u4f9d\u66fc\u3001\u56fe\u7075\u548c\u5176\u4ed6\u8ba1\u7b97\u673a\u5b66\u5bb6\u7684\u5f71\u54cd\u3002NIPS\u7b49\u4eba\u5de5\u667a\u80fd\u9876\u7ea7\u4f1a\u8bae\u4e4b\u524d\u5c55\u793a\u4e86\u5f88\u591a\u8ba1\u7b97\u795e\u7ecf\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u7ed3\u5408\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u4f46\u662f\u8fd1\u5e74\u6765NIPS\u8d8a\u6765\u8d8a\u5173\u6ce8\u7eaf\u7cb9\u7684\u673a\u5668\u5b66\u4e60\u6280\u672f\u3002\u5f88\u591a\u76f8\u5173\u7814\u7a76\u4eba\u5458\u4e5f\u610f\u8bc6\u5230\u4e86\u8fd9\u4e00\u70b9\u3002\u201c\u5de5\u7a0b\u5e08\u4e0d\u4f1a\u4e3a\u4e86\u5236\u9020\u66f4\u597d\u7684\u98de\u673a\u800c\u7814\u7a76\u9e1f\u7c7b\u201d\u8fd9\u53e5\u8001\u8bdd\u4f5c\u4e3a\u7c7b\u6bd4\u662f\u5931\u8d25\u7684 <\/span>(Lilienthal 1911; Culick 2001) <\/span>\uff0c\u90e8\u5206\u539f\u56e0\u662f\u822a\u7a7a\u5148\u9a71\u786e\u5b9e\u7814\u7a76\u8fc7\u9e1f\u7c7b\uff0c\u8fd8\u6709\u4e00\u4e9b\u4eba\u4ecd\u5728\u7814\u7a76\u9e1f\u7c7b <\/span>(Shyy et al. 2008; Akos et al. 2010)<\/span>\u3002\u6b64\u5916\uff0c\u8fd9\u79cd\u7c7b\u6bd4\u5728\u66f4\u57fa\u672c\u7684\u5c42\u9762\u4e0a\u4e5f\u4e0d\u6210\u7acb\uff1a\u73b0\u4ee3\u822a\u7a7a\u5de5\u7a0b\u7684\u76ee\u6807\u4e0d\u662f\u5b9e\u73b0\u9e1f\u7c7b\u7ea7\u522b\u7684\u98de\u884c\uff0c\u800c\u4eba\u5de5\u667a\u80fd\u7684\u4e3b\u8981\u76ee\u6807\u5374\u662f\u5b9e\u73b0<\/span>\uff08\u6216\u8d85\u8fc7\uff09<\/span>\u4eba\u7c7b\u7ea7\u522b\u7684\u667a\u80fd\u3002\u6b63\u5982\u8ba1\u7b97\u673a\u5728\u8bb8\u591a\u65b9\u9762\u8d85\u8d8a\u4eba\u7c7b\u4e00\u6837\uff0c\u6bd4\u5982\u8fdb\u884c\u8d28\u56e0\u6570\u5206\u89e3\u7684\u80fd\u529b\uff0c\u98de\u673a\u5728\u901f\u5ea6\u3001\u822a\u7a0b\u548c\u8f7d\u8d27\u80fd\u529b\u7b49\u65b9\u9762\u4e5f\u8d85\u8d8a\u4e86\u9e1f\u7c7b\u3002\u4f46\u662f\uff0c\u5982\u679c\u822a\u7a7a\u5de5\u7a0b\u5e08\u7684\u76ee\u6807\u786e\u5b9e\u662f\u5236\u9020\u4e00\u79cd\u5177\u6709\u9e1f\u7c7b\u80fd\u529b\u7684\u673a\u5668\uff0c\u80fd\u591f\u5728\u8302\u5bc6\u7684\u68ee\u6797\u6811\u53f6\u4e2d\u98de\u884c\uff0c\u5e76\u8f7b\u8f7b\u5730\u843d\u5728\u6811\u679d\u4e0a\uff0c\u90a3\u4e48\u4ed6\u4eec\u6700\u597d\u5bc6\u5207\u5173\u6ce8\u9e1f\u7c7b\u662f\u5982\u4f55\u505a\u5230\u7684\u3002\u540c\u6837\uff0c\u5982\u679c\u4eba\u5de5\u667a\u80fd\u7684\u76ee\u6807\u662f\u5b9e\u73b0\u52a8\u7269\u6c34\u5e73\u7684\u5e38\u8bc6\u6027\u611f\u89c9\u8fd0\u52a8\u667a\u80fd\uff0c\u90a3\u4e48\u7814\u7a76\u4eba\u5458\u6700\u597d\u5411\u52a8\u7269\u5b66\u4e60\u4ee5\u4e86\u89e3\u4ed6\u4eec\u5982\u4f55\u5728\u4e0d\u53ef\u9884\u6d4b\u7684\u4e16\u754c\u4e2d\u8fdb\u5316\u51fa\u884c\u4e3a\u65b9\u5f0f\u3002<\/span><\/section>\n

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  1. \n
    Akos, Zsuzsa, M\u00e1t\u00e9 Nagy, Severin Leven, and Tam\u00e1s Vicsek. 2010. \u201cThermal Soaring Flight of Birds and Unmanned Aerial Vehicles.\u201d Bioinspiration & Biomimetics 5 (4): 045003.<\/section>\n<\/li>\n
  2. \n
    Attwell, D., and S. B. Laughlin. 2001. \u201cAn Energy Budget for Signaling in the Grey Matter of the Brain.\u201dJournal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism 21 (10): 1133\u201345.<\/section>\n<\/li>\n
  3. \n
    Bommasani, Rishi, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, et al. 2021. \u201cOn the Opportunities and Risks of Foundation Models.\u201d arXiv [cs.LG]. arXiv. http:\/\/arxiv.org\/abs\/2108.07258.<\/section>\n<\/li>\n
  4. \n
    Brown, Tom, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D. Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, and Amanda Askell. 2020. \u201cLanguage Models Are Few-Shot Learners.\u201d Advances in Neural Information Processing Systems 33: 1877\u20131901.<\/section>\n<\/li>\n
  5. \n
    Campbell, Murray, A. Joseph Hoane, and Feng-Hsiung Hsu. 2002. \u201cDeep Blue.\u201d Artificial Intelligence 134 (1): 57\u201383.<\/section>\n<\/li>\n
  6. \n
    Cisek, Paul, and Benjamin Y. Hayden. 2022. \u201cNeuroscience Needs Evolution.\u201d Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 377 (1844): 20200518.<\/section>\n<\/li>\n
  7. \n
    Culick, Fred. 2001. \u201cWhat the Wright Brothers Did and Did Not Understand about Flight Mechanics – In Modern Terms.\u201d In 37th Joint Propulsion Conference and Exhibit. Joint Propulsion Conferences. American Institute of Aeronautics and Astronautics.<\/section>\n<\/li>\n
  8. \n
    Davies, Mike, Narayan Srinivasa, Tsung-Han Lin, Gautham Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios Dimou, et al. 2018. \u201cLoihi: A Neuromorphic Manycore Processor with On-Chip Learning.\u201d IEEE Micro 38 (1): 82\u201399.<\/section>\n<\/li>\n
  9. \n
    DeBole, Michael V., Brian Taba, Arnon Amir, Filipp Akopyan, Alexander Andreopoulos, William P. Risk, Jeff Kusnitz, et al. 2019. \u201cTrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years.\u201d Computer 52 (5): 20\u201329.<\/section>\n<\/li>\n
  10. \n
    Dobrunz, L. E., and C. F. Stevens. 1997. \u201cHeterogeneity of Release Probability, Facilitation, and Depletion at Central Synapses.\u201d Neuron 18 (6): 995\u20131008.<\/section>\n<\/li>\n
  11. \n
    Gupta, Agrim, Silvio Savarese, Surya Ganguli, and Li Fei-Fei. 2021. \u201cEmbodied Intelligence via Learning and Evolution.\u201d Nature Communications 12 (1): 5721.<\/section>\n<\/li>\n
  12. \n
    Hassabis, Demis, Dharshan Kumaran, Christopher Summerfield, and Matthew Botvinick. 2017.\u201cNeuroscience-Inspired Artificial Intelligence.\u201d Neuron 95 (2): 245\u201358.<\/section>\n<\/li>\n
  13. \n
    Huang, Sandy, Nicolas Papernot, Ian Goodfellow, Yan Duan, and Pieter Abbeel. 2017. \u201cAdversarial Attacks on Neural Network Policies.\u201d arXiv [cs.LG]. arXiv. http:\/\/arxiv.org\/abs\/1702.02284.<\/section>\n<\/li>\n
  14. \n
    Hubel, D. H., and T. N. Wiesel. 1962. \u201cReceptive Fields, Binocular Interaction and Functional Architecture in the Cat\u2019s Visual Cortex.\u201d The Journal of Physiology. https:\/\/doi.org\/10.1113\/jphysiol.1962.sp006837.<\/section>\n<\/li>\n
  15. \n
    Itti, L., C. Koch, and E. Niebur. 1998. \u201cA Model of Saliency-Based Visual Attention for Rapid Scene Analysis.\u201d IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11): 1254\u201359.<\/section>\n<\/li>\n
  16. \n
    Kosoy, Eliza, Adrian Liu, Jasmine L. Collins, David Chan, Jessica B. Hamrick, Nan Rosemary Ke, Sandy Huang, Bryanna Kaufmann, John Canny, and Alison Gopnik. 11–13 Apr 2022. \u201cLearning Causal Overhypotheses through Exploration in Children and Computational Models.\u201d In Proceedings of the First Conference on Causal Learning and Reasoning, edited by Bernhard Sch\u00f6lkopf, Caroline Uhler, and Kun Zhang, 177:390\u2013406. Proceedings of Machine Learning Research. PMLR.<\/section>\n<\/li>\n
  17. \n
    Koulakov, Alexei, Sergey Shuvaev, Divyansha Lachi, and Anthony Zador. 2022. \u201cEncoding Innate Ability through a Genomic Bottleneck.\u201d bioRxiv. https:\/\/doi.org\/10.1101\/2021.03.16.435261.<\/section>\n<\/li>\n
  18. \n
    Larochelle, Hugo, and Geoffrey Hinton. 2010. \u201cLearning to Combine Foveal Glimpses with a Third-Order Boltzmann Machine.\u201d Advances in Neural Information Processing Systems 23. https:\/\/proceedings.neurips.cc\/paper\/2010\/hash\/677e09724f0e2df9b6c000b75b5da10d-Abstract.html .<\/section>\n<\/li>\n
  19. \n
    LeCun, Yann, and Yoshua Bengio. 1995. \u201cConvolutional Networks for Images, Speech, and Time Series.\u201d The Handbook of Brain Theory and Neural 3361 (10). http:\/\/www.iro.umontreal.ca\/~lisa\/pointeurs\/handbook-convo.pdf.<\/section>\n<\/li>\n
  20. \n
    Lennie, Peter. 2003. \u201cThe Cost of Cortical Computation.\u201d Current Biology: CB 13 (6): 493\u201397.<\/section>\n<\/li>\n
  21. \n
    Lilienthal, Otto. 1911. Birdflight as the Basis of Aviation: A Contribution Towards a System of Aviation, Compiled from the Results of Numerous Experiments Made by O. and G. Lilienthal. Longmans, Green.<\/section>\n<\/li>\n
  22. \n
    Liu, Siqi, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, et al. 2021. \u201cFrom Motor Control to Team Play in Simulated Humanoid Football.\u201d arXiv [cs.AI]. arXiv. http:\/\/arxiv.org\/abs\/2105.12196.<\/section>\n<\/li>\n
  23. \n
    Ma, Wei Ji, Jeffrey M. Beck, Peter E. Latham, and Alexandre Pouget. 2006. \u201cBayesian Inference with Probabilistic Population Codes.\u201d Nature Neuroscience 9 (11): 1432\u201338.<\/section>\n<\/li>\n
  24. \n
    McCulloch, Warren S., and Walter Pitts. 1943. \u201cA Logical Calculus of the Ideas Immanent in Nervous Activity.\u201d The Bulletin of Mathematical Biophysics 5 (4): 115\u201333.<\/section>\n<\/li>\n
  25. \n
    Merel, Josh, Diego Aldarondo, Jesse Marshall, Yuval Tassa, Greg Wayne, and Bence \u00d6lveczky. 2019. \u201cDeep Neuroethology of a Virtual Rodent.\u201d arXiv [q-bio.NC]. arXiv. http:\/\/arxiv.org\/abs\/1911.09451.<\/section>\n<\/li>\n
  26. \n
    Merel, Josh, Matthew Botvinick, and Greg Wayne. 2019. \u201cHierarchical Motor Control in Mammals and Machines.\u201d Nature Communications 10 (1): 5489.<\/section>\n<\/li>\n
  27. \n
    Mnih, Volodymyr, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, et al. 2015. \u201cHuman-Level Control through Deep Reinforcement Learning.\u201d Nature 518 (7540): 529\u201333.<\/section>\n<\/li>\n
  28. \n
    Moravec, Hans. 1988. Mind Children: The Future of Robot and Human Intelligence. Harvard University Press.<\/section>\n<\/li>\n
  29. \n
    Patterson, David, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, and Jeff Dean. 2021. \u201cCarbon Emissions and Large Neural Network Training.\u201d arXiv [cs.LG]. arXiv. http:\/\/arxiv.org\/abs\/2104.10350.<\/section>\n<\/li>\n
  30. \n
    Pehlevan, Cengiz, and Dmitri B. Chklovskii. 2019. \u201cNeuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial Neural Networks.\u201d IEEE Signal Processing Magazine 36 (6): 88\u201396.<\/section>\n<\/li>\n
  31. \n
    Rescorla, R. A. 1972. \u201cA Theory of Pavlovian Conditioning : Variations in the Effectiveness of Reinforcement and Nonreinforcement.\u201d Current Research and Theory, 64\u201399.<\/section>\n<\/li>\n
  32. \n
    Roy, Kaushik, Akhilesh Jaiswal, and Priyadarshini Panda. 2019. \u201cTowards Spike-Based Machine Intelligence with Neuromorphic Computing.\u201d Nature 575 (7784): 607\u201317.<\/section>\n<\/li>\n
  33. \n
    Schultz, W., P. Dayan, and P. R. Montague. 1997. \u201cA Neural Substrate of Prediction and Reward.\u201d Science 275 (5306): 1593\u201399.<\/section>\n<\/li>\n
  34. \n
    Sejnowski, Terrence. 2022. \u201cLarge Language Models and the Reverse Turing Test.\u201d arXiv [cs.CL]. arXiv. http:\/\/arxiv.org\/abs\/2207.14382.<\/section>\n<\/li>\n
  35. \n
    Shyy, Wei, Yongsheng Lian, Jian Tang, Dragos Viieru, and Hao Liu. 2008. Aerodynamics of Low Reynolds Number Flyers.<\/section>\n<\/li>\n
  36. \n
    Silver, David, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, et al. 2016. \u201cMastering the Game of Go with Deep Neural Networks and Tree Search.\u201d Nature 529 (7587): 484\u201389.<\/section>\n<\/li>\n
  37. \n
    Sinz, Fabian H., Xaq Pitkow, Jacob Reimer, Matthias Bethge, and Andreas S. Tolias. 2019. \u201cEngineering a Less Artificial Intelligence.\u201d Neuron 103 (6): 967\u201379.<\/section>\n<\/li>\n
  38. \n
    Sokoloff, Louis. 1960. \u201cThe Metabolism of the Central Nervous System in Vivo.\u201d Handbook of Physiology, Section I, Neurophysiology 3: 1843\u201364.<\/section>\n<\/li>\n
  39. \n
    Stanley, Kenneth O., Jeff Clune, Joel Lehman, and Risto Miikkulainen. 2019. \u201cDesigning Neural Networks through Neuroevolution.\u201d Nature Machine Intelligence 1 (1): 24\u201335.<\/section>\n<\/li>\n
  40. \n
    St\u00f6ckl, Christoph, Dominik Lang, and Wolfgang Maass. 2022. \u201cStructure Induces Computational Function in Networks with Diverse Types of Spiking Neurons.\u201d bioRxiv. https:\/\/doi.org\/10.1101\/2021.05.18.444689.<\/section>\n<\/li>\n
  41. \n
    Thorndike, L., and Darryl Bruce. 2017. Animal Intelligence: Experimental Studies. Routledge.<\/section>\n<\/li>\n
  42. \n
    Turing, A. M. 1950. \u201cI.\u2014COMPUTING MACHINERY AND INTELLIGENCE.\u201d Mind; a Quarterly Review of Psychology and Philosophy LIX (236): 433\u201360.<\/section>\n<\/li>\n
  43. \n
    Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. \u201cAttention Is All You Need.\u201d Advances in Neural Information Processing Systems 30. https:\/\/proceedings.neurips.cc\/paper\/7181-attention-is-all-you-need.<\/section>\n<\/li>\n
  44. \n
    Von Neumann, John. 2012. The Computer and the Brain. 3rd ed. Yale University Press. https:\/\/doi.org\/10.12987\/9780300188080.<\/section>\n<\/li>\n
  45. \n
    Xu, K., J. Ba, R. Kiros, K. Cho, and A. Courville. 2015. \u201cShow, Attend and Tell: Neural Image Caption Generation with Visual Attention.\u201d International. https:\/\/proceedings.mlr.press\/v37\/xuc15.html.<\/section>\n<\/li>\n
  46. \n
    Zador, Anthony M. 2019. \u201cA Critique of Pure Learning and What Artificial Neural Networks Can Learn from Animal Brains.\u201d Nature Communications 10 (1): 3770.<\/section>\n<\/li>\n<\/ol>\n

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    \u795e\u7ecf\u79d1\u5b66\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u591a\u4f4d\u8457\u540d\u5b66\u8005\u8fd1\u65e5\u53d1\u8868 NeuroAI \u767d\u76ae\u4e66\u8ba4\u4e3a\uff0c\u795e\u7ecf\u79d1\u5b66\u957f\u671f\u4ee5\u6765\u4e00\u76f4\u662f\u63a8\u52a8\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u53d1\u5c55\u7684\u91cd\u8981\u9a71\u52a8\u529b\uff0cNeuroAI \u9886\u57df\u7684\u57fa\u7840\u7814\u7a76\u5c06\u63a8\u52a8\u4e0b\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u8fdb\u7a0b\u3002\u6587\u7ae0\u53d1\u8868\u540e\u5f15\u53d1\u70ed\u8bae\uff1a\u795e\u7ecf\u79d1\u5b66\u662f\u5426\u63a8\u52a8\u4e86\u4eba\u5de5\u667a\u80fd\uff1f\u672a\u6765\u7684\u4eba\u5de5\u667a\u80fd\u662f\u5426\u9700\u8981\u795e\u7ecf\u79d1\u5b66\uff1f<\/span><\/section>\n

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    \u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n