{"id":46088,"date":"2023-10-27T20:19:27","date_gmt":"2023-10-27T12:19:27","guid":{"rendered":"https:\/\/swarma.org\/?p=46088"},"modified":"2023-10-27T20:19:27","modified_gmt":"2023-10-27T12:19:27","slug":"%e6%99%ba%e8%83%bd%e6%98%af%e4%bb%80%e4%b9%88%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=46088","title":{"rendered":"\u667a\u80fd\u662f\u4ec0\u4e48\uff1f"},"content":{"rendered":"
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1. \u201c\u9002\u5e94\u6027\u201d\u662f\u533a\u5206\u201c\u667a\u80fd\u201d\u7684\u5173\u952e\u56e0\u7d20<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5176\u4e2d\u4e24\u4f4d\u5960\u57fa\u4eba\u7ebd\u5384\u5c14<\/span>\uff08Newell\uff09<\/span>\u548c\u53f8\u9a6c\u8d3a<\/span>\uff08Simon\uff09<\/span>\u66fe\u63d0\u51fa\uff0c\u6982\u62ec\u6765\u8bf4\uff0c\u201c\u667a\u80fd\u662f\u6709\u9650\u8d44\u6e90\u4e0b\u9002\u5e94\u73af\u5883\u7684\u80fd\u529b\u201d<\/span>\uff08Newell & Simon, 1976\uff09<\/span>\uff0c\u8fd9\u51e0\u4e4e\u5341\u5206\u51c6\u786e\u4e86\uff0c\u53ea\u4e0d\u8fc7\u5728\u540e\u6765\u4ed6\u4eec\u81ea\u5df1\u7684\u7814\u7a76\u4e2d\u5e76\u6ca1\u6709\u9075\u5faa\u8fd9\u4e00\u8ba4\u8bc6\u3002\u800c\u53e6\u4e00\u5960\u57fa\u4eba\u4e4b\u4e00\u660e\u65af\u57fa<\/span>\uff08Minsky\uff09<\/span>\u5219\u8ba4\u4e3a\uff0c\u6982\u62ec\u6765\u8bf4\uff0c\u201c\u667a\u80fd\u662f\u89e3\u51b3\u56f0\u96be\u95ee\u9898\u7684\u80fd\u529b\u201d(Minsky, 1988)\uff0c\u8fd9\u79cd\u89c2\u70b9\u770b\u4f3c\u7b26\u5408\u76f4\u89c9\uff0c\u4f46\u6b63\u5982\u524d\u9762\u6240\u8bba\u8bc1\u7684\uff0c\u4e00\u4e2a\u523b\u677f\u7684\u8ba1\u7b97\u673a\u7a0b\u5e8f\u5e76\u4e0d\u80fd\u88ab\u8ba4\u4e3a\u662f\u201c\u667a\u80fd\u201d\u7684\uff0c\u5c3d\u7ba1\u5b83<\/span>\uff08\u5982\u201c\u6df1\u84dd\u201d\uff09<\/span>\u80fd\u89e3\u51b3\u56f0\u96be\u95ee\u9898\u3002\u867d\u7136\u660e\u65af\u57fa\u7684\u89c2\u70b9\u6709\u5176\u5408\u7406\u6027\uff0c\u6bd5\u7adf\u4eba\u5de5\u667a\u80fd\u6700\u7ec8\u8981\u8d70\u5411\u201c\u5e94\u7528\u201d\uff0c\u4f46\u4e5f\u5177\u6709\u4e00\u4e9b\u8bef\u5bfc\u6027\uff0c\u5bb9\u6613\u628a\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u5bfc\u5411\u4e13\u95e8\u95ee\u9898\u6c42\u89e3\u4e0a\uff0c\u4e00\u4e2a\u53ef\u80fd<\/span>\uff08\u4e14\u73b0\u5728\u5e38\u89c1\uff09<\/span>\u7684\u7ed3\u679c\u662f\u4eba\u5728\u89e3\u51b3\u95ee\u9898\u800c\u975e\u673a\u5668\u81ea\u5df1\uff0c\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u5f53\u4e00\u4e2a\u66fe\u7ecf\u8ba4\u4e3a\u91cd\u8981\u7684\u95ee\u9898\u88ab\u201c\u4eba\u5de5\u667a\u80fd\u201d\u89e3\u51b3\u540e\uff0c\u4eba\u4eec\u4ecd\u7136\u4f1a\u53d1\u51fa\u79cd\u79cd\u8d28\u7591\u3002\u5bf9\u4e8e\u660e\u65af\u57fa\u7684\u89c2\u70b9\u7684\u53cd\u9a73\uff0c\u4e00\u4e2a\u66f4\u5bb9\u6613\u7406\u89e3\u7684\u4f8b\u5b50\u662f\uff0c\u5c3d\u7ba1\u5a74\u513f\u6ca1\u6709\u9ad8\u8d85\u7684\u6280\u80fd\uff0c\u4e14\u57fa\u672c\u96be\u4ee5\u89e3\u51b3\u56f0\u96be\u95ee\u9898\uff0c\u4f46\u5927\u6982\u6ca1\u6709\u4eba\u4f1a\u5426\u8ba4\u5a74\u513f\u62e5\u6709\u201c\u667a\u80fd\u201d\u3002\u5728\u56fe\u70751950\u5e74\u7684\u8bba\u6587<\/span>\uff08Turing, 1950\uff09<\/span>\u4e2d\uff0c\u9664\u4e86\u63d0\u51fa\u4e86\u201c\u6a21\u4eff\u6e38\u620f\u201d<\/span>\uff08\u4e5f\u5c31\u662f\u540e\u6765\u5e7f\u4e3a\u4eba\u77e5\u7684\u201c\u56fe\u7075\u6d4b\u8bd5\u201d\uff09<\/span>\u4ee5\u5916\uff0c\u66f4\u91cd\u8981\u7684\u662f\u5728\u6700\u540e\u4e00\u90e8\u5206\uff0c\u56fe\u7075\u5bf9\u672a\u6765\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u8bbe\u60f3\u3002\u56fe\u7075\u6784\u601d\u4e86\u4e00\u4e2a\u201c\u673a\u5668\u5a74\u513f\u201d\uff0c\u901a\u8fc7\u540e\u5929\u7684\u201c\u6559\u80b2\u201d\u957f\u5927\u6210\u4eba\uff0c\u8fdb\u800c\u5728\u667a\u529b\u4efb\u52a1\u4e0a\u4e0e\u4eba\u7ade\u4e89\u3002\u53ef\u4ee5\u8bf4\uff0c\u673a\u5668\u5982\u4f55\u7ecf\u8fc7\u201c\u9002\u5e94\u201d\u4ece\u800c\u6210\u4e3a\u9886\u57df\u4e13\u5bb6\uff0c\u6700\u5f00\u59cb\u5c31\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u95ee\u9898\u3002<\/span><\/section>\n

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\u8fd9\u91cc\u6240\u8c13\u201c\u8868\u5f81\u76f8\u4e92\u4f5c\u7528\u7684\u539f\u7406\u201d\u4e2d\uff0c\u6240\u8bf4\u7684\u201c\u8868\u5f81\u201d\u4e0d\u662f\u4e3b\u4f53\u5185\u90e8\u7684\u3001\u5bf9\u5916\u90e8\u7269\u4f53\u7684\u6307\u79f0\u7269\uff0c\u800c\u662f\u6307\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4e2d\u7684\u201c\u77e5\u8bc6\u8868\u793a\u201d\u7684\u5177\u4f53\u5185\u5bb9\uff0c\u50cf\u662f\u201c\u4e13\u5bb6\u7cfb\u7edf<\/span>\uff08Expert System\uff09<\/span>\u201d\u4e2d\u7684\u201c\u7b26\u53f7\u201d\u3001\u201c\u6df1\u5ea6\u5b66\u4e60<\/span>\uff08Deep Learning\uff09<\/span>\u201d\u4e2d\u7684\u201c\u5411\u91cf\u201d\u3001\u201c\u7c7b\u8111\u8ba1\u7b97<\/span>\uff08Neuromorphic Computing\uff09<\/span>\u201d\u4e2d\u7684\u201c\u8109\u51b2<\/span>\uff08Spikes\uff09<\/span>\u201d\u7b49\u3002\u8fd9\u91cc\u6240\u8bf4\u7684\u539f\u7406\u662f\u5bf9\u667a\u80fd\u73b0\u8c61\u80cc\u540e\u7684\u673a\u5236\u7684\u62bd\u8c61\u63cf\u8ff0\uff0c\u800c\u201c\u8868\u5f81\u201d\u5219\u662f\u7528\u6765\u63cf\u8ff0\u539f\u7406\u7684\u57fa\u672c\u5355\u5143\u3002\u5728\u201c\u9002\u5e94\u6027\u201d\u8fd9\u4e00\u5927\u524d\u63d0\u4e0b\uff0c\u6211\u4eec\u53ef\u4ee5\u63a2\u8ba8\u76f8\u5173\u7684\u539f\u7406\u6709\u54ea\u4e9b\u3002\u5bf9\u8fd9\u4e00\u539f\u7406\u96c6\u7684\u63a2\u7d22\u548c\u63cf\u8ff0\u6709\u4e0d\u540c\u7684\u5207\u5165\u70b9\uff0c\u4f8b\u5982\uff0c\u7814\u7a76\u8111\u7684\u7ed3\u6784\u3001\u7814\u7a76\u67d0\u4e9b\u95ee\u9898\u7684\u6c42\u89e3\u8fc7\u7a0b\u3001\u7814\u7a76\u4eba\u7684\u884c\u4e3a\u3001\u7814\u7a76\u8ba4\u77e5\u529f\u80fd\uff0c\u4e0d\u8bba\u662f\u4ece\u54ea\u4e2a\u89d2\u5ea6\uff0c\u5c3d\u7ba1\u53ef\u80fd\u4f1a\u5f97\u5230\u4e0d\u540c\u5f62\u5f0f\u7684\u63cf\u8ff0\uff0c\u4f46\u6700\u7ec8\u90fd\u8981\u8fdb\u884c\u603b\u7ed3\u548c\u62bd\u8c61\uff0c\u627e\u5230\u90a3\u4e2a\u6700\u4e00\u822c\u7684\u3001\u4e0e\u751f\u7269\u6216\u8ba1\u7b97\u673a\u5b9e\u73b0\u7ec6\u8282\u4e0d\u76f4\u63a5\u76f8\u5173\u7684\u539f\u7406\u3002\u8fd9\u4e00\u539f\u7406\u7684\u96c6\u5408\u5e76\u975e\u5728\u672c\u6587\u4e2d\u80fd\u591f\u8be6\u7ec6\u8ba8\u8bba\u548c\u7ed9\u51fa\uff0c\u5b83\u968f\u7740\u201c\u667a\u80fd\u201d\u7684\u7814\u7a76\u6df1\u5165\u800c\u53d1\u5c55\uff0c \u201c\u667a\u80fd\u201d\u8fd9\u4e00\u6982\u5ff5\u7684\u542b\u4e49\u4e5f\u56e0\u6b64\u4f1a\u9010\u6e10\u53d8\u5316\u3002<\/span><\/section>\n

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\u8fd9\u79cd\u201c\u667a\u80fd\u201d\u7684\u89e3\u91ca\u53ef\u4ee5\u9002\u7528\u4e8e\u201c\u673a\u5668\u5b66\u4e60<\/span>\uff08Machine Learning\uff09<\/span>\u201d\uff0c\u6bd5\u7adf\u201c\u5b66\u4e60\u201d\u5c31\u662f\u9002\u5e94\u7684\u8fc7\u7a0b\u3002\u4f46\u4f3c\u4e4e\u4e0d\u662f\u6240\u6709\u7684\u6709\u9650\u8d44\u6e90\u4e0b\u7684\u9002\u5e94\u6027\u90fd\u662f\u4eba\u4eec\u5185\u5fc3\u6df1\u5904\u7684\u201c\u667a\u80fd\u201d\u90a3\u7269\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u5178\u578b\u7684\u201c\u673a\u5668\u5b66\u4e60\u201d\u7cfb\u7edf\u3002\u201c\u673a\u5668\u5b66\u4e60\u201d\u7cfb\u7edf\u7684\u786e\u80fd\u5de5\u4f5c\u5728\u6709\u9650\u7684\u8d44\u6e90\u4e0b\uff0c\u6bd5\u7adf\u8fd9\u662f\u4e00\u4e2a\u73b0\u5b9e\u7ea6\u675f\uff0c\u540c\u65f6\uff0c\u4eba\u4eec\u4e5f\u53d1\u73b0\u4e86\uff0c\u4e00\u4e2a\u201c\u673a\u5668\u5b66\u4e60\u201d\u7cfb\u7edf\u5f80\u5f80\u53ea\u80fd\u89e3\u51b3\u5c11\u6570\u4e00\u4e9b\u95ee\u9898[2]\uff0c\u800c\u6ca1\u6709\u4eba\u7c7b\u667a\u80fd\u90a3\u6837\u7684\u201c\u901a\u7528\u6027\u201d\u3002\u4f8b\u5982\u201cAlphaGo\u201d\u9ad8\u8d85\u7684\u56f4\u68cb\u6280\u80fd\u6b63\u662f\u5b83\u7684\u201c\u667a\u80fd\u201d\u53d1\u6325\u4f5c\u7528\u540e\u7684\u7ed3\u679c\uff0c\u4f46\u201cAlphaGo\u201d\u53ca\u5176\u7ee7\u4efb\u8005<\/span>\uff08\u5982\u201cAlpha Zero\u201d\uff09<\/span>\u4ec5\u4ec5\u5728\u67d0\u4e00\u7c7b\u95ee\u9898<\/span>\uff08\u4f8b\u5982\u56f4\u68cb\u3001\u8c61\u68cb\u3001Dota\u7b49\uff09<\/span>\u4e0a\u8868\u73b0\u5f97\u5f88\u597d\uff0c\u5374\u4e0d\u5177\u6709\u4eba\u7c7b\u8fd9\u6837\u7684\u201c\u901a\u624d\u201d\uff0c\u4e0d\u80fd\u9002\u5e94\u5e7f\u6cdb\u7684\u573a\u666f[3]\u3002\u4e00\u6279\u7814\u7a76\u8005\u6700\u65e9\u57282006\u5e74<\/span>\uff08AGI Workshop\u4e0a\uff09<\/span>\u6b63\u5f0f\u63d0\u51fa\u4e86\u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd<\/span>\uff08Artificial General Intelligence, AGI\uff09<\/span>\u201d\u7684\u6982\u5ff5<\/span>\uff08Wang & Goertzel, 2007\uff09<\/span>\uff0c\u4e0e\u7279\u5b9a\u95ee\u9898\u6c42\u89e3\u7cfb\u7edf\u7684\u201c\u4eba\u5de5\u667a\u80fd\u201d\u7814\u7a76\u5212\u6e05\u4e86\u754c\u9650\u3002\u5c3d\u7ba1\u5982\u6b64\uff0c\u6211\u4eec\u5e76\u4e0d\u80fd\u5426\u8ba4\u201c\u673a\u5668\u5b66\u4e60\u201d\u7cfb\u7edf\u4f53\u73b0\u4e86\u201c\u667a\u80fd\u201d\u3002\u90a3\u4e48\uff0c\u201c\u673a\u5668\u5b66\u4e60\u201d\u4e2d\u5bfc\u81f4\u4e89\u8bae\u7684\u662f\u4ec0\u4e48\uff1f<\/span><\/section>\n

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\u4e00\u4e2a\u5178\u578b\u7684\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u5305\u542b\u4e09\u4e2a\u90e8\u5206\uff1a\u201c\u5b66\u4e60\u7b97\u6cd5\u201d\u3001\u201c\u6570\u636e\u201d\u3001\u201c\u6280\u80fd\u7a0b\u5e8f\u201d<\/span>\uff08\u4e5f\u88ab\u79f0\u4e3a\u201c\u6a21\u578b\u201d\uff09<\/span>\uff0c\u5e76\u901a\u5e38\u5c06\u5b66\u4e60\u8fc7\u7a0b\u5206\u4e3a\u8bad\u7ec3\u548c\u6d4b\u8bd5\u4e24\u4e2a\u9636\u6bb5\u3002\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u201c\u5b66\u4e60\u7b97\u6cd5\u201d\u901a\u8fc7\u603b\u7ed3\u6570\u636e\u4e2d\u7684\u7ecf\u9a8c\uff0c\u8c03\u6574\u201c\u6280\u80fd\u7a0b\u5e8f\u201d\u3002\u6d4b\u8bd5\u9636\u6bb5\uff0c\u201c\u6280\u80fd\u7a0b\u5e8f\u201d\u6839\u636e\u8f93\u5165\u505a\u51fa\u54cd\u5e94\uff0c\u4ece\u800c\u201c\u89e3\u51b3\u95ee\u9898\u201d\u3002\u6211\u4eec\u53ef\u4ee5\u53d1\u73b0\uff0c\u201c\u673a\u5668\u5b66\u4e60\u201d\u5c06\u4ee5\u5f80\u7531\u4eba\u7c7b\u5f00\u53d1\u8005\u7f16\u5199\u7684\u201c\u6280\u80fd\u7a0b\u5e8f\u201d\u4ea4\u7531\u201c\u5b66\u4e60\u7b97\u6cd5\u201d\u4ece\u6570\u636e\u4e2d\u603b\u7ed3\uff0c\u673a\u5668\u5728\u8fd9\u4e00\u8fc7\u7a0b\u4e2d\u5c1d\u8bd5\u901a\u8fc7\u9002\u5e94\u73af\u5883<\/span>\uff08\u5373\u6570\u636e\uff09<\/span>\u6765\u89e3\u51b3\u95ee\u9898\u3002\u7136\u800c\uff0c\u5728\u6d4b\u8bd5\u9636\u6bb5\uff0c\u201c\u5b66\u4e60\u7b97\u6cd5\u201d\u5df2\u7ecf\u4e0d\u518d\u8d77\u4f5c\u7528\u4e86\uff0c\u4e5f\u5c31\u662f\u8bf4\uff0c\u6b64\u65f6\u673a\u5668\u4e0d\u518d\u5177\u6709\u9002\u5e94\u6027\uff0c\u800c\u662f\u4ec5\u4ec5\u6267\u884c\u201c\u6280\u80fd\u7a0b\u5e8f\u201d\uff0c\u201c\u523b\u677f\u5730\u201d\u54cd\u5e94\u8f93\u5165\u4fe1\u53f7\u3002\u8fd9\u4e5f\u662f\u4e3a\u4ec0\u4e48\u5b83\u4e0d\u518d\u7b26\u5408\u4eba\u4eec\u76f4\u89c9\u4e0a\u7684\u201c\u667a\u80fd\u201d\u4e86\u3002\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u7684\u7814\u7a76\u8005\u4e5f\u610f\u8bc6\u5230\u4e86\u8fd9\u4e00\u70b9\uff0c\u63d0\u51fa\u201c\u8fde\u7eed\u5b66\u4e60<\/span>\uff08Continuous Learning\uff09<\/span>\u201d\u3001\u201c\u7ec8\u8eab\u5b66\u4e60<\/span>\uff08Life-long Learning\uff09<\/span>\u201d\u7b49\u7684\u6982\u5ff5\u548c\u65b9\u6cd5\u6b63\u662f\u6446\u8131\u8fd9\u4e00\u56f0\u5883\u7684\u52aa\u529b\u3002<\/span><\/section>\n

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4. ChatGPT\u7684\u201c\u667a\u80fd\u201d<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u6309\u7167\u524d\u9762\u5bf9\u201c\u667a\u80fd\u201d\u548c\u201c\u673a\u5668\u5b66\u4e60\u201d\u7684\u8ba8\u8bba\uff0c\u201c\u5178\u578b\u7684\u201d\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5728\u6d4b\u8bd5\u9636\u6bb5\u5df2\u7ecf\u8c08\u8bba\u4e0d\u4e0a\u201c\u667a\u80fd\u201d\u4e86\uff0c\u4f46\u73b0\u4ee3\u7684\u65b9\u6cd5\u4e2d\u6709\u4f8b\u5916\u9700\u8981\u989d\u5916\u8ba8\u8bba\u3002<\/span><\/section>\n

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ChatGPT\u5728\u201c\u6d4b\u8bd5\u201d\u9636\u6bb5\u5c55\u73b0\u51fa\u7684\u201c\u7075\u6d3b\u6027\u201d\u8ba9\u8bb8\u591a\u4eba\u60ca\u8bb6\uff0c\u8fd9\u4e5f\u5f15\u53d1\u4e86\u5bf9\u201c\u9002\u5e94\u201d\u8fd9\u4e00\u6982\u5ff5\u542b\u4e49\u7684\u8fdb\u4e00\u6b65\u8003\u8651\u3002\u5927\u6982\u4e0d\u4f1a\u6709\u4eba\u5426\u8ba4\u8bad\u7ec3\u9636\u6bb5ChatGPT\u4f53\u73b0\u4e86\u9002\u5e94\u6027<\/span>\uff08\u7531\u4e8e\u795e\u7ecf\u7f51\u7edc\u6743\u91cd\u7684\u4fee\u6539\uff09<\/span>\u3002\u90a3\u4e48\uff0c\u5728\u6d4b\u8bd5\u9636\u6bb5ChatGPT\u8fdb\u884c\u4e86\u4efb\u4f55\u201c\u9002\u5e94\u201d\u5417\uff1f\u4e00\u65b9\u8ba4\u4e3a\uff0c\u6bcf\u8f6e\u65b0\u7684\u5bf9\u8bdd\u4e2dChatGPT\u7684\u72b6\u6001\u90fd\u88ab\u91cd\u7f6e\uff0c\u5bf9\u4e8e\u6bcf\u8f6e\u5bf9\u8bdd\u800c\u8a00\u5176\u8868\u73b0\u5e76\u6ca1\u6709\u6839\u672c\u7684\u53d8\u5316\uff0c\u56e0\u6b64\u6ca1\u6709\u53d1\u751f\u9002\u5e94\u3002\u53e6\u4e00\u65b9\u8ba4\u4e3a\uff0cChatGPT \u7684\u201c\u8bed\u5883\u5185\u5b66\u4e60<\/span>\uff08In-Context Learning\uff09<\/span>\u201d\u662f\u9002\u5e94\u7684\u4f53\u73b0\u3002<\/span><\/section>\n

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\u4e3a\u4e86\u8ba8\u8bba\u66f4\u5177\u4f53\uff0c\u8ba9\u6211\u4eec\u8003\u8651\u8fd9\u6837\u4e00\u79cd\u60c5\u51b5\uff1a\u4e00\u4e2a\u57fa\u4e8e\u6982\u7387\u7684\u7edf\u8ba1\u5b66\u4e60\u7b97\u6cd5\uff0c\u5728\u6ca1\u6709\u4efb\u4f55\u6761\u4ef6\u65f6\uff0c\u8f93\u51fa\u662fP(X)\uff0c\u5f53\u589e\u52a0\u4e86\u6761\u4ef6A\u540e\uff0c\u8f93\u51fa\u662fP(X|A)\uff0c\u8fdb\u4e00\u6b65\u589e\u52a0\u6761\u4ef6B\u540e\uff0c\u5176\u8f93\u51fa\u662fP(X|A,B)\uff0c\u4e14\u5728\u67d0\u4e2a\u8bc4\u4ef7\u6307\u6807\u4e0b\uff0c\u7cfb\u7edf\u7684\u8868\u73b0\u9010\u6b65\u53d8\u597d\u3002\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u53d8\u5316\u7684\u662f\u65b0\u589e\u7684\u6761\u4ef6\uff0c\u800c\u4e0d\u53d8\u7684\u5219\u662f\u6982\u7387\u5206\u5e03\u3002\u6bcf\u5f53\u91cd\u65b0\u8f93\u5165\u5404\u4e2a\u6761\u4ef6\u540e\uff0c\u4e00\u4e2a\u7cfb\u7edf\u5982\u679c\u53d1\u751f\u4e86\u201c\u9002\u5e94\u201d\uff0c\u6211\u4eec\u4f1a\u53d1\u73b0\u7b2c\u4e8c\u6b21\u7684P(X|A,B)\u7684\u8868\u73b0\u5e94\u5f53\u4f18\u4e8e\u7b2c\u4e00\u6b21\u7684P(X|A,B)\u7684\u8868\u73b0\uff0c\u82e5\u662f\u76f8\u53cd\uff0c\u5219\u7cfb\u7edf\u5e76\u672a\u53d1\u751f\u201c\u9002\u5e94\u201d<\/span>\uff08Wang, 2004\uff09<\/span>\u3002<\/span><\/section>\n

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\u82e5\u5c06\u201c\u63d0\u793a\u8bcd<\/span>\uff08Prompts\uff09<\/span>\u201d\u7c7b\u6bd4\u4e8e\u4e0a\u9762\u7684\u6761\u4ef6A\u3001B\uff0c\u90a3\u4e48ChatGPT\u6b63\u662f\u5c5e\u4e8e\u540e\u8005\u7684\u60c5\u51b5\uff0c\u4eceChatGPT\u7684\u6574\u4e2a\u751f\u547d\u5468\u671f\u6765\u770b<\/span>\uff08\u4ece\u5b83\u8bde\u751f\u7684\u90a3\u4e00\u523b\u5f00\u59cb\u201c\u8bad\u7ec3\u201d\uff0c\u7ecf\u8fc7\u73b0\u5728\u7684\u201c\u6d4b\u8bd5\u201d\uff0c\u76f4\u5230\u672a\u6765\u88ab\u505c\u6b62\u8fd0\u884c\uff09<\/span>\uff0c\u4ee5\u67d0\u4e00\u4e2a\u201c\u5bf9\u8bdd\u201d\u4f5c\u4e3a\u201c\u4efb\u52a1\u201d\uff0c\u90a3\u4e48\u6bcf\u4e2a\u4efb\u52a1\u4e0a\u7684\u8868\u73b0\u6ca1\u6709\u6839\u672c\u7684\u53d8\u5316\uff0c\u5373\u5e76\u672a\u53d1\u751f\u201c\u9002\u5e94\u201d\u2014\u2014\u6362\u53e5\u8bdd\u8bf4\uff0c\u4ece\u8fd9\u4e2a\u5927\u5c3a\u5ea6<\/strong>\u770b\uff0c\u201c\u9002\u5e94\u201d\u4ecd\u662f\u53d1\u751f\u5728\u8bad\u7ec3\u9636\u6bb5\uff0c\u800c\u7528\u4e8e\u5b9e\u73b0ChatGPT\u7684\u201cTransformer\u201d\u7684\u7ed3\u6784\u3001\u795e\u7ecf\u7f51\u7edc\u7684\u8bef\u5dee\u53cd\u5411\u4f20\u64ad\u7b49\u624d\u662f\u548c\u201c\u667a\u80fd\u201d\u76f4\u63a5\u76f8\u5173\u7684\u3002<\/span><\/section>\n

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\u4f46\u4ece\u4e00\u4e2a\u66f4\u5c0f\u7684\u5c3a\u5ea6<\/strong>\u770b\uff0c\u5c06\u4e00\u8f6e\u201c\u5bf9\u8bdd\u201d\u770b\u4f5cChatGPT\u7cfb\u7edf\u7684\u201c\u751f\u547d\u5468\u671f\u201d\uff0c\u6bcf\u4e00\u6b21\u63d0\u95ee\u770b\u4f5c\u4e00\u4e2a\u201c\u4efb\u52a1\u201d\uff0c\u90a3\u4e48\uff0c\u9762\u5bf9\u4f9d\u6b21\u7684\u8f93\u5165A\u3001B\uff0c\u7cfb\u7edf\u7684\u8868\u73b0\u53d1\u751f\u4e86\u53d8\u5316\uff0c\u7279\u522b\u662f\u518d\u6b21\u8f93\u5165A\u540e\u53ef\u4ee5\u89c2\u5bdf\u5230\u8868\u73b0\u7684\u63d0\u5347<\/span>\uff08\u4f8b\u5982\uff0c\u5bf9\u7ea0\u6b63\u9519\u8bef\u56de\u7b54\u540e\u518d\u6b21\u8fdb\u884c\u63d0\u95ee\uff09<\/span>\u3002\u5728\u8fd9\u4e00\u89c2\u70b9\u4e0b\uff0cChatGPT\u201c\u8bad\u7ec3\u201d\u540e\u5f97\u5230\u7684\u201c\u6743\u91cd\u201d\u4e0d\u662f\u4e25\u683c\u610f\u4e49\u4e0a\u7684\u524d\u8ff0\u6982\u7387\u5206\u5e03P\uff0c\u800c\u662f\u4e60\u5f97\u4e86\u67d0\u79cd\u201c\u9002\u5e94\u7a0b\u5e8f\u201d\uff0c\u5728\u4e0d\u6539\u53d8\u6743\u91cd\u7684\u524d\u63d0\u4e0b\uff0c\u8fd0\u884c\u8be5\u201c\u9002\u5e94\u7a0b\u5e8f\u201dP\uff0c\u7cfb\u7edf\u4ea7\u751f\u4e86\u201c\u9002\u5e94\u201d\u7684\u8868\u73b0\u3002<\/span><\/section>\n

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\u53cc\u65b9\u90fd\u662f\u5bf9\u7684\uff0c\u53ea\u4e0d\u8fc7\u89c2\u5bdf\u7684\u5c3a\u5ea6\u4e0d\u540c\u3002\u4f46\u662f\uff0c\u8bbe\u60f3\uff0c\u5982\u679c\u5c06\u8bad\u7ec3\u597d\u7684ChatGPT<\/span>\uff08\u5176\u6a21\u578b\u53c2\u6570\u4e0d\u518d\u53d8\u4e86\uff09<\/span>\u653e\u5728\u67d0\u4e2a\u4eba\u7c7b\u7684\u8bed\u8a00\u7ecf\u9a8c\u6216\u89c6\u89c9\u7ecf\u9a8c\u6ca1\u6709\u89e6\u53ca\u7684\u5730\u65b9<\/span>\uff08\u4f8b\u5982\u53e6\u4e00\u4e2a\u661f\u7403\u6216\u8005\u53e6\u4e00\u4e2a\u7269\u7406\u89c4\u5f8b\u5b8c\u5168\u4e0d\u540c\u7684\u5b87\u5b99\uff0c\u6216\u662f\u7ed9\u5b83\u4e00\u4e2a\u52a8\u7269\u6216\u673a\u5668\u4eba\u7684\u8eab\u4f53\uff09<\/span>\uff0c\u90a3\u4e48\u5b83\u4f1a\u4f53\u73b0\u201c\u9002\u5e94\u6027\u201d\u5417\uff1f\u53ef\u4ee5\u8bf4\uff0c\u6b64\u65f6\u90a3\u4e9b\u4e60\u5f97\u7684\u201c\u9002\u5e94\u7a0b\u5e8f\u201d\u4e0d\u518d\u9002\u7528\u4e86\u3002\u6309\u7167\u672c\u6587\u4e2d\u5bf9\u201c\u667a\u80fd\u201d\u8fd9\u4e00\u6982\u5ff5\u7684\u89e3\u91ca\uff0c\u4e24\u79cd\u89c6\u89d2\u90fd\u770b\u5230\u4e86ChatGPT\u7684\u201c\u667a\u80fd\u201d\uff0c\u4f46\u5176\u542b\u4e49\u4e0d\u540c\u3002\u4ece\u524d\u8005\u770b\u5230\u7684\u662f\u201c\u901a\u7528\u667a\u80fd\u201d\uff0c\u5373\u5bf9\u201c\u5f00\u653e\u73af\u5883\u201d\u7684\u9002\u5e94\u6027<\/span>\uff08ChatGPT\u4ecd\u7136\u53ef\u4ee5\u901a\u8fc7\u68af\u5ea6\u4e0b\u964d\u5b66\u4e60\u6765\u9002\u5e94\u65b0\u73af\u5883\uff09<\/span>\uff0c\u800c\u4ece\u540e\u8005\u770b\u5230\u7684\u662f\u201c\u4e13\u7528\u667a\u80fd\u201d\uff0c\u5373\u5bf9\u4e00\u5b9a\u9886\u57df\u8303\u56f4\u5185\u7684\u9002\u5e94\u6027<\/span>\uff08\u4e0d\u542b\u76d6\u8d85\u51fa\u4eba\u7c7b\u8bed\u8a00\u7ecf\u9a8c\u7684\u8303\u56f4\uff09<\/span>\u3002<\/span><\/section>\n

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5. \u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd\u201d<\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

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\u6211\u4eec\u4f1a\u53d1\u73b0\uff0c\u76ee\u524d\u7684\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u6db5\u76d6\u4e86\u524d\u9762\u63d0\u5230\u7684\u5404\u4e2a\u6982\u5ff5\uff0c\u56fe2\u6982\u62ec\u4e86\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u201c\u4eba\u7c7b\u667a\u80fd<\/strong>\u201d\u4ece\u5927\u81ea\u7136\u7684\u6f14\u5316\u4e2d\u8bde\u751f\uff0c\u6211\u4eec\u5c1d\u8bd5\u89c2\u5bdf\u201c\u81ea\u5df1\u201d\uff0c\u7279\u522b\u662f\u81ea\u5df1\u7684\u601d\u7ef4\u89c4\u5f8b\uff0c\u5c1d\u8bd5\u603b\u7ed3\u51fa\u4e00\u5957\u8ba4\u8bc6\u548c\u6539\u9020\u4e16\u754c\u7684\u57fa\u672c\u539f\u7406\uff0c\u5e76\u7528\u673a\u5668<\/span>\uff08\u7279\u522b\u662f\u201c\u8ba1\u7b97\u673a\u201d\uff09<\/span>\u8fdb\u884c\u5b9e\u73b0\uff0c\u6240\u5b9e\u73b0\u7684\u5bf9\u8c61<\/span>\uff08\u4e3b\u4f53\uff09<\/span>\u5e38\u88ab\u79f0\u4e3a\u201c\u667a\u80fd\u4f53<\/span>\uff08Intelligent Agent\uff0c\u6216Agent\uff09<\/span>\u201d\u3002\u201c\u667a\u80fd\u4f53\u201d\u5229\u7528\u81ea\u5df1\u7684\u201c\u667a\u80fd\u201d\u603b\u7ed3\u7ecf\u9a8c\u548c\u89e3\u51b3\u95ee\u9898\uff0c\u5176\u4e2d\u53d8\u5316\u7684\u662f\u89e3\u51b3\u5177\u4f53\u95ee\u9898\u7684\u6280\u80fd\uff0c\u800c\u83b7\u5f97\u6280\u80fd\u7684\u65b9\u6cd5\u5219\u76f8\u5bf9\u7a33\u5b9a\u3002\u5982\u679c\u201c\u4e60\u5f97\u6280\u80fd\u7684\u65b9\u6cd5\u201d\u4e5f\u53ef\u4ee5\u88ab\u4e60\u5f97\uff0c\u90a3\u4e48\u4e60\u5f97\u201c\u4e60\u5f97\u6280\u80fd\u7684\u65b9\u6cd5\u201d\u7684\u53c8\u662f\u4ec0\u4e48\uff1f\u667a\u80fd\u4f53\u603b\u8981\u5728\u67d0\u4e2a\u5c42\u6b21\u4e0a\u201c\u88ab\u9884\u8bbe\u201d\u3001\u201c\u4fdd\u6301\u4e0d\u53d8\u201d\uff0c\u672c\u6587\u5c06\u8fd9\u4e2a\u5c42\u6b21\u4e0a\u7684\u5bf9\u8c61\u79f0\u4e3a\u201c\u901a\u7528\u667a\u80fd<\/strong>\u201d\uff0c\u800c\u667a\u80fd\u4f53\u7684\u7ecf\u9a8c\u7ecf\u8fc7\u201c\u667a\u80fd\u201d\u7684\u5904\u7406<\/span>\uff08\u5373\u201c\u8868\u5f81\u76f8\u4e92\u4f5c\u7528\u201d\uff09<\/span>\u5219\u5f62\u6210\u4e86\u7528\u4e8e\u89e3\u51b3\u95ee\u9898\u7684\u201c\u6280\u80fd\u201d\u3002\u5176\u4e2d\uff0c\u201c\u4e60\u5f97\u6280\u80fd\u7684\u65b9\u6cd5\u201d\u4e5f\u53ef\u4ece\u7ecf\u9a8c\u4e2d\u88ab\u603b\u7ed3\u51fa\u6765\uff0c\u53ea\u4e0d\u8fc7\u8fd9\u91cc\u4e60\u5f97\u7684\u201c<\/span>\uff08\u6709\u9002\u5e94\u6027\u7684\uff09<\/span>\u6280\u80fd\u201d\u7684\u9002\u7528\u8303\u56f4\u4e0e\u4efb\u52a1\u76f8\u5173\uff0c\u56e0\u6b64\u5728\u672c\u6587\u4e2d\u5b83\u4eec\u88ab\u79f0\u4e3a\u201c\u4e13\u7528\u667a\u80fd<\/strong>\u201d\u3002<\/span><\/section>\n

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\u5f53\u7136\uff0c\u201c\u901a\u7528\u201d\u4e5f\u662f\u76f8\u5bf9\u7684\uff0c\u6bd5\u7adf\uff0c\u6211\u4eec<\/span>\uff08\u4eba\u7c7b\uff09<\/span>\u5bf9\u81ea\u8eab\u201c\u5fc3\u667a\u201d\u7684\u5efa\u6a21\u4e5f\u96be\u4ee5\u907f\u514d\u5730\u53d7\u5230\u4e86\u81ea\u5df1\u7ecf\u9a8c\u7684\u5f71\u54cd\uff0c\u5373\u5176\u9002\u7528\u8303\u56f4\u53d7\u5230\u4e86\u201c\u6211\u4eec\u5bf9\u6240\u751f\u6d3b\u4e16\u754c\u7684\u7ecf\u9a8c\u201d\u7684\u5f71\u54cd\uff0c\u6211\u4eec\u603b\u7ed3\u51fa\u7684\u201c\u901a\u7528\u667a\u80fd\u201d\u662f\u5426\u662f\u653e\u4e4b\u5b87\u5b99\u800c\u7686\u51c6\uff0c\u8fd9\u662f\u8d85\u51fa\u6211\u4eec\u7ecf\u9a8c\u8303\u56f4\u7684\u95ee\u9898\u4e86\uff0c\u4f46\u81f3\u5c11\u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd\u201d\u7684\u5de5\u4f5c\u5728\u671d\u7740\u8fd9\u4e2a\u65b9\u5411\u52aa\u529b\u3001\u5c3d\u53ef\u80fd\u51cf\u5c11\u7279\u5b9a\u95ee\u9898\u7ecf\u9a8c\u7684\u5f71\u54cd\u3002<\/span><\/section>\n

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\u6b63\u5982\u300a\u91d1\u521a\u7ecf\u300b\u4e2d\u6240\u8a00\uff1a\u201c\u4e00\u5207\u6709\u4e3a\u6cd5\uff0c\u5982\u68a6\u5e7b\u6ce1\u5f71\uff0c\u5982\u9732\u4ea6\u5982\u7535\u201d\u3002\u90a3\u4e2a\u201c\u4e0d\u53d8\u201d\u7684\u201c\u672c\u6765\u9762\u76ee\u201d\u7a76\u7adf\u662f\u4ec0\u4e48\u6837\uff1f\u968f\u7740\u201c\u901a\u7528\u667a\u80fd\u201d\u7814\u7a76\u6df1\u5165\uff0c\u6216\u8bb8\u8fd9\u4e00\u95ee\u9898\u5c06\u9010\u6e10\u4f1a\u6709\u7b54\u6848\u3002<\/span><\/section>\n

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\u81f4\u8c22<\/span><\/strong><\/span><\/h2>\n
\u611f\u8c22\u5728\u5b8c\u6210\u6b64\u6587\u7ae0\u8fc7\u7a0b\u4e2d\u53c2\u4e0e\u8ba8\u8bba\u3001\u63d0\u51fa\u610f\u89c1\u3001\u5ba1\u9605\u548c\u7f16\u8f91\u7684\u670b\u53cb\u3002<\/span><\/section>\n


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\u53c2\u8003\u8d44\u6599<\/span><\/strong><\/span><\/h2>\n
Minsky, M. (1988). Society Of Mind<\/em>. Simon and Schuster.<\/span><\/section>\n
Newell, A., & Simon, H. A. (1976). Computer Science as Empirical Inquiry: Symbols and Search. Communications of the ACM<\/em>, 19<\/em>, 113\u2013126.<\/span><\/section>\n
Turing, A. M. (1950). Computing Machinery and Intelligence. Mind<\/em>, LIX<\/em>(236), 433\u2013460. https:\/\/doi.org\/10.1093\/mind\/LIX.236.433<\/span><\/section>\n
Wang, P. (2004). The limitation of Bayesianism. Artificial Intelligence<\/em>, 158<\/em>(1), 97\u2013106. https:\/\/doi.org\/10.1016\/j.artint.2003.09.003<\/span><\/section>\n
Wang, P. (2018). On Defining Artificial Intelligence. Journal of Artificial General Intelligence<\/em>, 10<\/em>(2), 1\u201337. https:\/\/doi.org\/10.2478\/jagi-2019-0002<\/span><\/section>\n
Wang, P., & Goertzel, B. (2007). Introduction: Aspects of Artificial General Intelligence. Proceedings of the 2007 Conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006<\/em>, 1\u201316.<\/span><\/section>\n
\u738b\u57f9. (2022). \u667a\u80fd\u8bba\u7eb2\u8981<\/em>. \u4e0a\u6d77\u79d1\u6280\u6559\u80b2\u51fa\u7248\u793e\u6709\u9650\u516c\u53f8.<\/span><\/section>\n
Reed, S., Zolna, K., Parisotto, E., Colmenarejo, S. G., Novikov, A., Barth-maron, G., Gim\u00e9nez, M., Sulsky, Y., Kay, J., Springenberg, J. T., Eccles, T., Bruce, J., Razavi, A., Edwards, A., Heess, N., Chen, Y., Hadsell, R., Vinyals, O., Bordbar, M., & Freitas, N. de. (2022). A Generalist Agent. Transactions on Machine Learning Research<\/em>.<\/span><\/section>\n

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[1] \u201c\u4eba\u7c7b\u667a\u80fd\u201d\u6709\u4e0d\u540c\u7684\u62bd\u8c61\u5c42\u6b21\uff0c\u5305\u542b\u201c\u7ed3\u6784\u201d\u3001\u201c\u884c\u4e3a\u201d\u3001\u201c\uff08\u95ee\u9898\u6c42\u89e3\uff09\u80fd\u529b\u201d\u3001\u201c\uff08\u8ba4\u77e5\uff09\u529f\u80fd\u201d\u3001\u201c\u539f\u5219\u201d(Wang, 2018)\u3002\u4e0b\u9762\u57fa\u672c\u6309\u7167\u8fd9\u4e2a\u6846\u67b6\u8fdb\u884c\u8bba\u8ff0\u3002<\/span><\/section>\n
[2] \u8fd9\u91cc\u6240\u8bf4\u7684\u662f\u673a\u5668\u5b66\u4e60\u201c\u7cfb\u7edf\u201d\u800c\u975e\u201c\u7b97\u6cd5\u201d\u3002\u4e00\u4e2a\u6570\u5b66\u65b9\u6cd5\u6216\u7b97\u6cd5\u662f\u901a\u7528\u7684\uff0c\u4e0e\u4e00\u4e2a\u7cfb\u7edf\u662f\u901a\u7528\u7684\uff0c\u4e8c\u8005\u542b\u4e49\u4e0d\u540c\u3002\u201c\u4eba\u201d\u8fd9\u4e00\u667a\u80fd\u201c\u7cfb\u7edf\u201d\u7684\u901a\u7528\u6027\u5c5e\u4e8e\u540e\u8005\u3002<\/span><\/section>\n
[3] \u5e76\u975e\u8bf4\u8fd9\u4e9b\u5de5\u4f5c\u6ca1\u6709\u4ef7\u503c\uff0c\u4f8b\u5982\uff0c\u5f3a\u5316\u5b66\u4e60\u7684\u603b\u4f53\u6846\u67b6\u662f\u5bf9\u7684\uff0c\u53ea\u4e0d\u8fc7\u5728\u5177\u4f53\u7ec6\u8282\u4e0a\u9700\u8981\u8fdb\u4e00\u6b65\u8003\u8651\u3002<\/span><\/section>\n
[4] \u6b64\u5904\u7684\u201c\u901a\u7528\u667a\u80fd\u201d\u662f\u5728\u4eba\u5de5\u667a\u80fd\u7684\u8bed\u5883\u4e0b\u8ba8\u8bba\u7684\uff0c\u4f46\u6ce8\u610f\u540c\u4e00\u4e2a\u8bcd\u5728\u4e0d\u540c\u8bed\u5883\u4e0b\u6709\u4e0d\u540c\u7684\u542b\u4e49\u3002\u4f8b\u5982\uff0c\u5728\u5fc3\u7406\u5b66\u4e2d\u7684\u201c\u901a\u7528\u667a\u80fd\u201d\u5c31\u662f\u53e6\u5916\u7684\u542b\u4e49\u4e86\uff0c\u5c3d\u7ba1\u4e8c\u8005\u6709\u7740\u5728\u76f4\u89c9\u4e0a\u7684\u76f8\u4f3c\u6027\u3002\u8fd9\u4e24\u4e2a\u542b\u4e49\u7684\u76f8\u4f3c\u4e0e\u5dee\u522b\u5728(Wang & Goertzel, 2007)\u4e2d\u4e5f\u6709\u7c7b\u4f3c\u7684\u8bf4\u660e\u3002<\/span><\/section>\n
[5] \u56e0\u6b64\uff0c\u8fd9\u91cc\u5bf9\u201c\u901a\u7528\u667a\u80fd\u201d\u7684\u5b9a\u4e49\u4e0e(Wang, 2018)\u4e2d\u5bf9\u201c\u667a\u80fd\u201d \u7684\u5b9a\u4e49\uff08\u5373\u201c\u667a\u80fd\u662f\u4fe1\u606f\u7cfb\u7edf\u5728\u77e5\u8bc6\u4e0e\u8d44\u6e90\u4e0d\u8db3\u65f6\u9002\u5e94\u73af\u5883\u7684\u80fd\u529b\u201d\uff09\u5927\u4f53\u7b49\u4ef7\uff0c\u5c3d\u7ba1\u7565\u6709\u4e0d\u540c\u3002\u4e5f\u53ef\u53c2\u8003\u5728\u300a\u667a\u80fd\u8bba\u7eb2\u8981\u300b\uff08\u738b\u57f9\uff0c\u8457\uff09\u4e2d\u5bf9\u667a\u80fd\u7684\u63cf\u8ff0\uff0c\u5176\u4e2d\u7684\u667a\u80fd\u672c\u8eab\u5c31\u662f\u9886\u57df\u65e0\u5173\u7684\u3001\u901a\u7528\u7684\uff0c\u8bf4\u201c\u4e13\u7528\u667a\u80fd\u201d\u5c31\u592a\u5947\u602a\u4e86\u3002<\/span><\/section>\n
[6] \u8fd9\u91cc\u662f\u5bf9\u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd\u201d\u7684\u975e\u6b63\u5f0f\u63cf\u8ff0\uff0c\u800c\u975e\u6b63\u5f0f\u5b9a\u4e49\u3002<\/span><\/section>\n
[7] \u53c2\u89c1\u300a\u667a\u80fd\u8bba\u7eb2\u8981\u300b\u3002\u56fe 1 \u4e2d\uff0c\u62ec\u53f7\u4e2d\u7684\u6982\u5ff5\u4e0e\u8be5\u4e66\u4e2d\u7684\u7528\u6cd5\u6216\u8bb8\u66f4\u8d34\u8fd1\u3002<\/span><\/section>\n
[8] \u5c3d\u7ba1\u67d0\u4e9b\u201c\u751f\u6765\u5c31\u6709\u201d\u7684\u4e5f\u4f1a\u968f\u7740\u540e\u5929\u7ecf\u9a8c\u800c\u6539\u53d8\uff0c\u4e5f\u5e76\u975e\u6240\u6709\u201c\u751f\u6765\u5c31\u6709\u201d\u7684\u90fd\u5c5e\u4e8e\u667a\u80fd\u3002\u4f8b\u5982\u52a8\u7269\u8eab\u4f53\u7684\u672c\u80fd\u53cd\u5e94\u7b49\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u611f\u5174\u8da3\u7684\u670b\u53cb\u53ef\u4ee5\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\uff0c\u89c2\u770b\u8bfb\u4e66\u4f1a\u89c6\u9891\u56de\u653e<\/span><\/section>\n
<\/section>\n

\u6591\u56fe\u5730\u5740\uff1ahttps:\/\/pattern.swarma.org\/study_group_issue\/525<\/span><\/p>\n

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


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

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\u5b66\u8005\u7b80\u4ecb<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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

<\/section>\n
\u5f90\u535a\u6587<\/strong>\uff0c\u7f8e\u56fd\u5929\u666e\u5927\u5b66PhD\u5728\u8bfb\uff0c\u7814\u7a76\u65b9\u5411\u4e3a\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff08AGI\uff09\uff0c\u81f4\u529b\u4e8e\u63a2\u7d22\u901a\u7528\u667a\u80fd\u7684\u7406\u8bba\u5e76\u521b\u9020\u201c\u771f\u6b63\u7684\u201d\u4eba\u5de5\u667a\u80fd\u3002<\/span><\/section>\n
\u4e2a\u4eba\u4e3b\u9875\uff1ahttp:\/\/www.xubowen.site\/<\/span><\/section>\n

<\/section>\n

<\/section>\n
\n
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AGI\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong>
<\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/section>\n

\u4e3a\u4e86\u6df1\u5165\u63a2\u8ba8 AGI \u76f8\u5173\u8bdd\u9898\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u96c6\u8403\u6df1\u5ea6\u611f\u77e5\u6280\u672f\u7814\u7a76\u6240\u6240\u957f\u5cb3\u7389\u6d9b\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u535a\u58eb\u6c88\u9a6c\u6210\u3001\u5929\u666e\u5927\u5b66\u535a\u58eb\u751f\u5f90\u535a\u6587\uff0c\u5171\u540c\u53d1\u8d77 AGI \u8bfb\u4e66\u4f1a<\/a>\uff0c\u6db5\u76d6\u4e3b\u9898\u5305\u62ec\uff1a\u667a\u80fd\u7684\u5b9a\u4e49\u4e0e\u5ea6\u91cf\u3001\u667a\u80fd\u7684\u539f\u7406\u3001\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u4fe1\u606f\u4e16\u754c\u7684\u667a\u80fd\u3001\u611f\u77e5\u4e0e\u5177\u8eab\u667a\u80fd\u3001\u591a\u89c6\u89d2\u4e0b\u7684\u4eba\u5de5\u667a\u80fd\u3001\u5bf9\u9f50\u6280\u672f\u4e0eAGI\u5b89\u5168\u6027\u3001AGI\u65f6\u4ee3\u7684\u672a\u6765\u793e\u4f1a\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e749\u670821\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u56db\u665a\u4e0a 19:00-21:00\uff0c\u9884\u8ba1\u6301\u7eed7-10\u5468\u3002\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\uff01<\/span><\/p>\n


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


<\/p>\n

\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/p>\n

AGI \u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u8fc8\u5411\u901a\u7528\u4eba\u5de5\u667a\u80fd\u7684\u8de8\u5b66\u79d1\u8def\u5f84<\/a><\/span>
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<\/section>\n<\/section>\n<\/section>\n<\/section>\n
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1.  <\/strong>\u6df1\u5ea6\u5256\u6790\uff1aChatGPT \u53ca\u5176\u7ee7\u4efb\u8005\u4f1a\u6210\u4e3a\u901a\u7528\u4eba\u5de5\u667a\u80fd\u5417\uff1f<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2. <\/strong>AI\u4f55\u4ee5\u6d8c\u73b0\uff1a\u590d\u6742\u9002\u5e94\u7cfb\u7edf\u89c6\u89d2\u7684ChatGPT\u548c\u5927\u8bed\u8a00\u6a21\u578b<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
3.<\/strong>  \u5f53\u4eba\u5de5\u667a\u80fd\u8d85\u8d8a\u4eba\u7c7b\u667a\u80fd\uff1a\u901a\u5f80 AGI \u901a\u7528\u4eba\u5de5\u667a\u80fd\u4e4b\u8def\u4e28\u96c6\u667a\u767e\u79d1<\/a><\/strong><\/span><\/section>\n
4. <\/strong><\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/a><\/span><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/span><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


<\/p>\n


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

\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/strong><\/section>\n

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5bfc\u8bed 2023\u5e74 ChatGPT \u7684\u6a2a\u7a7a\u51fa\u4e16\u8ba9\u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd (AGI) \u201d\u5907\u53d7\u5173\u6ce8\u3002ChatGPT\u662f\u5426\u5b9e\u73b0\u4e86\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff1f\u5728\u96c6\u667a\u4ff1\u4e50\u90e8 AGI \u8bfb\u4e66\u4f1a\u7b2c\u4e00\u671f\uff0c\u7f8e\u56fd\u5929\u666e\u5927\u5b66\u5728\u8bfb\u535a\u58eb\u5f90\u535a\u6587\u8ba4\u4e3a\uff0c\u5bf9\u4eba\u5de5\u667a\u80fd\u7684\u8bb8\u591a\u95ee\u9898\u7684\u8ba8\u8bba\uff0c\u90fd\u5bfc\u5411\u4e00\u4e2a\u66f4\u6839\u672c\u7684\u95ee\u9898\u2014\u2014\u667a\u80fd\u662f\u4ec0\u4e48\uff1f\u6709\u4eba\u8ba4\u4e3a\u667a\u80fd\u662f\u5927\u8111\u6d8c\u73b0\u51fa\u7684\u590d\u6742\u73b0\u8c61\u6216\u80fd\u529b\uff0c…<\/p>\n","protected":false},"author":0,"featured_media":46082,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/46088"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=46088"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/46088\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/46082"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=46088"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=46088"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=46088"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=46088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}