{"id":39058,"date":"2018-11-19T00:00:59","date_gmt":"2018-11-18T16:00:59","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=39058"},"modified":"2022-01-04T17:40:56","modified_gmt":"2022-01-04T09:40:56","slug":"%e8%ab%87%e8%ab%87ai%e7%9a%84%e3%80%8c%e4%bd%8e%e6%bd%ae%e6%9c%9f%e3%80%8d%e2%94%80%e6%bc%94%e7%ae%97%e7%a5%9e%e7%b6%93%e9%86%ab%e5%ad%b8","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=39058","title":{"rendered":"\u8ac7\u8ac7AI\u7684\u300c\u4f4e\u6f6e\u671f\u300d\u2500\u6f14\u7b97\u795e\u7d93\u91ab\u5b78"},"content":{"rendered":"
\n
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\u5716\u4e00\u3001(a) \u611f\u77e5\u5668\u57fa\u672c\u67b6\u69cb (b) 1960\u5e74\u4ee3\u5c55\u793a\u7684Mark I Perceptron Machine\uff0c\u80fd\u5920\u8fa8\u8b58\u4e00\u4e9b\u82f1\u6587\u5b57\u6bcd\u3002\uff08\u5716\u7247\u4f86\u6e90\uff1a(a)\u7de8\u8005\u63d0\u4f9b (b)Wikipedia\uff09<\/p>\n<\/div>\n

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\u4eca\u5e74\uff082018\uff09\u521d\u5728\u7d10\u7d04\u5927\u5b78\u8209\u884c\u7684Canonical Computation in Brains and Machines\u7814\u8a0e\u6703\u4e0a\uff0c\u4e00\u4f4d\u91cd\u91cf\u7d1a\u795e\u7d93\u79d1\u5b78\u5bb6Zachary Mainen\u767c\u8868\u4e86\u5e7e\u9805\u95dc\u65bc\u8840\u6e05\u7d20\u7684\u7814\u7a76\u7d50\u679c\u3002\u4ee5\u5f80\uff0c\u8840\u6e05\u7d20\u88ab\u8a8d\u70ba\u662f\u50cf\u5927\u8166\u50b3\u905e\u300c\u6109\u6085\u300d\u7684\u795e\u7d93\u8abf\u7bc0\u7269\u8cea\uff0c\u56e0\u6b64\u6182\u9b31\u75c7\u7684\u6210\u56e0\u5e38\u6b78\u548e\u65bc\u5b83\u7684\u6fc3\u5ea6\u4e0d\u8db3\u3002\u4f46Mainen\u5718\u968a\u8a8d\u70ba\u4e26\u4e0d\u662f\u90a3\u9ebc\u4e00\u56de\u4e8b\uff0c\u8840\u6e05\u7d20\u5728\u795e\u7d93\u7cfb\u7d71\u4e2d\u7684\u89d2\u8272\uff0c\u53ef\u80fd\u8207\u6539\u8b8a\u5927\u8166\u5b78\u7fd2\u72c0\u614b\u975e\u5e38\u76f8\u95dc\u3002<\/p>\n

\u4ed6\u5011\u5728\u5c0f\u9f20\u5be6\u9a57\u4e2d\u89c0\u5bdf\u5230\uff0c\u8840\u6e05\u7d20\u53ef\u4ee5\u8b93\u5927\u8166\u6c7a\u5b9a\u8a72\u7559\u4e0b\u54ea\u4e9b\u300cdata\u300d\uff0c\u4e26\u4f9d\u5176\u91cd\u8981\u6027\u7d66\u4e88\u6b0a\u91cd\u3002\u300c\u5982\u679c\u8840\u6e05\u7d20\u662f\u5728\u5e6b\u52a9\u667a\u6167\u7cfb\u7d71\u8655\u7406\u66f4\u4e00\u500b\u66f4\u901a\u7528\u7684\u554f\u984c\uff0c\u90a3\u9ebc\u5728\u4eba\u5de5\u667a\u6167\u6a21\u578b\u4e2d\u61c9\u8a72\u4e5f\u6703\u6709\u985e\u4f3c\u7684\u6a5f\u5236\u3002\u5c31\u50cf\u6fc3\u5ea6\u7570\u5e38\u6642\u6703\u5f15\u8d77\u75be\u75c5\uff0c\u6a5f\u5668\u5728\u5b78\u7fd2\u904e\u7a0b\u4e2d\u61c9\u8a72\u4e5f\u6703\u51fa\u73fe\u7b49\u50f9\u7684\u72c0\u6cc1\u3002\u300dMainen\u8a8d\u70ba\uff0c\u8840\u6e05\u7d20\u548c\u591a\u5df4\u80fa\u5728\u67d0\u7a2e\u7a0b\u5ea6\u4e0a\uff0c\u5f9e\u795e\u7d93\u7cfb\u7d71\u5167\u90e8\u4fc3\u9032\u8457\u667a\u6167\u7684\u767c\u5c55\u3002<\/p>\n

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\u5728\u66f4\u9032\u4e00\u6b65\u7684\u5be6\u9a57\u88e1\uff0c\u5718\u968a\u4f7f\u7528\u96f7\u5c04\u523a\u6fc0\u5954\u8dd1\u5c0f\u9f20\u7684\u5927\u8166\u5206\u6ccc\u8840\u6e05\u7d20\uff0c\u767c\u73fe\u5b83\u7684\u52d5\u4f5c\u6703\u7acb\u523b\u6162\u4e0b\u4f86\uff0c\u4e26\u6539\u8b8a\u672c\u4f86\u8981\u524d\u5f80\u7684\u65b9\u5411\u3002\u6839\u64daMainen\u7684\u8aaa\u6cd5\uff0c\u9019\u53ef\u80fd\u4ee3\u8868\u8840\u6e05\u7d20\u8981\u6c42\u5927\u8166\u7684\u5b78\u7fd2\u7cfb\u7d71\u5fd8\u6389\u525b\u525b\u767c\u751f\u904e\u7684\u4e8b\u60c5\uff0c\u4e26\u56de\u904e\u982d\u4f86\u6539\u8b8a\u8166\u4e2d\u5148\u524d\u7684\u5047\u8a2d\u3002\u56e0\u70ba\u63a5\u4e0b\u4f86\uff0c\u7576\u4ed6\u5011\u6301\u7e8c\u70ba\u540c\u4e00\u96bb\u5c0f\u9f20\u6ce8\u5c04\u8840\u6e05\u7d20\u6291\u5236\u5291\u6642\uff0c\u767c\u73fe\u5c0f\u9f20\u7684\u5b78\u7fd2\u6548\u7387\u6bd4\u4ee5\u524d\u66f4\u5dee\u4e86\u3002<\/p>\n

\u6a5f\u5668\u4e5f\u6709\u4f4e\u6f6e\u7684\u6642\u5019\uff1f<\/strong><\/p>\n

\u8a13\u7df4\u4efb\u4e00\u500b\u6a5f\u5668\u6a21\u578b\u6642\u666e\u904d\u90fd\u5f97\u9762\u5c0d\u4e00\u500b\u91cd\u8981\u554f\u984c\uff0c\u5c31\u662f\u8981\u5982\u4f55\u6c7a\u5b9a\u6a21\u578b\u7684\u5168\u57df\u8b8a\u6578\uff0c\u5728\u9019\u7576\u4e2d\uff0c\u5b78\u7fd2\u901f\u5ea6\uff08learning rate\uff09\u5c24\u5176\u638c\u63a7\u8457\u6a5f\u5668\u7684\u5f48\u6027\u7a0b\u5ea6\u3002\u8209\u4f8b\u4f86\u8aaa\uff0c\u5b83\u6c7a\u5b9a\u4e86\u4e00\u500b\u4eba\u9700\u8981\u82b1\u5e7e\u5e74\u7684\u7d93\u9a57\u5efa\u69cb\u5c0d\u9019\u500b\u4e16\u754c\u9053\u7406\u7684\u8a8d\u77e5\uff0c\u7576\u67d0\u4e00\u5929\u4f86\u5230\u4e86\u4e00\u500b\u5b8c\u5168\u964c\u751f\u7684\u5730\u65b9\uff08\u570b\u5916\uff09\uff0c\u70ba\u4e86\u8fc5\u901f\u9069\u61c9\u74b0\u5883\uff0c\u9019\u6642\u5c31\u5f97\u4ef0\u8cf4\u5b78\u7fd2\u6a21\u578b\u7684\u5f48\u6027\u4e86\u3002<\/p>\n

\u8aaa\u6a5f\u5668\u4e5f\u53ef\u80fd\u9677\u5165\u300c\u4f4e\u6f6e\u300d\uff0c\u807d\u8d77\u4f86\u53ef\u80fd\u5f88\u602a\uff0c\u4f46\u6a5f\u5668\u6a21\u578b\u6240\u9762\u5c0d\u7684\u554f\u984c\u4e5f\u5f88\u985e\u4f3c\u3002\u7576\u795e\u7d93\u7db2\u8def\u7684\u81ea\u7531\u5ea6\u4e0d\u8db3\u4ee5\u61c9\u4ed8\u554f\u984c\uff0c\u5b78\u7fd2\u901f\u5ea6\u53c8\u4e0d\u5920\u5927\u7684\u6642\u5019\uff0c\u5b83\u7e3d\u662f\u6c92\u8fa6\u6cd5\u8b93loss\u6536\u6582\u5230\u4f4e\u9ede\u3002\u9019\u6642\u6709\u4eba\u53ef\u80fd\u6703\u89ba\u5f97\u62c9\u9ad8\u5b78\u7fd2\u901f\u5ea6\u5c31\u53ef\u4ee5\u4e86\uff0c\u4f46\u4e8b\u5be6\u4e0a\uff0c\u4e00\u65e6\u6a21\u578b\u904e\u65bc\u5f48\u6027\uff0c\u5b83\u5f80\u5f80\u6703\u5fd8\u8a18\u4e4b\u524d\u5b78\u904e\u7684\u4e8b\u60c5\uff0c\u4e5f\u6c92\u8fa6\u6cd5\u7d2f\u7a4d\u9577\u671f\u77e5\u8b58\u3002<\/p>\n

\u900f\u904eMainen\u7684\u5be6\u9a57\uff0c\u4f3c\u4e4e\u6697\u793a\u8457\u751f\u7269\u7684\u667a\u6167\u53ef\u80fd\u662f\u900f\u904e\u4e00\u7a2e\u66f4\u70ba\u8907\u96dc\u7684\u65b9\u5f0f\u9577\u671f\u5f62\u6210\u2014\u2014\u85c9\u7531\u8840\u6e05\u7d20\u6216\u591a\u5df4\u80fa\u7b49\u8abf\u7bc0\u7269\u8cea\uff0c\u6c7a\u5b9a\u5927\u8166\u7684\u5b78\u7fd2\u7cfb\u7d71\u548c\u5b78\u7fd2\u901f\u5ea6\u3002Mainen\u8868\u793a\uff0c\u5047\u4f7f\u4eca\u5929\u6559\u5c0e\u5c0f\u9f20\u4e00\u500b\u898f\u5247\u7136\u5f8c\u518d\u8fc5\u901f\u5730\u6539\u8b8a\u5b83\uff0c\u9019\u6642\u8840\u6e05\u7d20\u5c31\u6703\u660e\u986f\u5730\u4e0a\u5347\uff0c\u50cf\u662f\u63d0\u9192\u8457\u5927\u8166\u300c\u5594\uff0c\u662f\u6642\u5019\u8981\u6539\u8b8a\u6a21\u578b\u4e86\u3002\u300d\u5018\u82e5\u8981\u8b93\u4eca\u65e5\u7684AI\u80fd\u66f4\u9069\u61c9\u6027\u5730\u5b78\u7fd2\uff0c\u6216\u8a31\u5f9e\u9019\u7a2e\u751f\u7269\u6a5f\u5236\u7684\u555f\u767c\uff0c\u5c31\u80fd\u8b93\u6a21\u578b\u5b78\u5f97\u66f4\u597d\u3002<\/p>\n

 <\/p>\n

\u7de8\u8b6f\u4f86\u6e90<\/strong><\/p>\n

Naveen Joshi.\u00a0\u201cGuess What? Turns Out Even AI May Face Depression.\u201d<\/a>\u00a0Forbes. 2018.<\/p>\n

\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n

    \n
  1. \u00a0Kiyohito Iigaya, Madalena S. Fonseca, Masayoshi Murakami, Zachary F. Mainen & Peter Dayan. \u201cAn effect of serotonergic stimulation on learning rates for rewards apparent\u2028after long intertrial intervals<\/a>\u201c. Nature Communications. 2018.<\/li>\n
  2. Madalena S. Fonseca, Masayoshi Murakami & Zachary F. Mainen1. \u201cActivation of dorsal raphe serotonergic neurons promotes waiting but is not reinforcing<\/a>\u201c. Current Biology. 2015.<\/li>\n
  3. Tristan Greene.\u00a0\u201cScientists have found a way to mimic human learning using brain chemicals \u2014 and it could impact future AI\u201d.<\/a>\u00a0Business Insider. 2018.<\/li>\n
  4. Zachary Mainen.\u00a0\u201cWhat depressed robots can teach us about mental health\u201d.<\/a>\u00a0The Guardian. 2018.<\/li>\n<\/ol>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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