{"id":58974,"date":"2025-08-16T19:24:51","date_gmt":"2025-08-16T11:24:51","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/58974.html"},"modified":"2025-08-16T19:24:51","modified_gmt":"2025-08-16T11:24:51","slug":"%e8%89%be%e4%bc%a6%c2%b7%e5%9b%be%e7%81%b5%ef%bc%9a%e8%ae%a1%e7%ae%97%e7%90%86%e8%ae%ba%e4%b8%8e%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e7%9a%84%e5%a5%a0%e5%9f%ba%e4%ba%ba","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/58974.html","title":{"rendered":"\u827e\u4f26\u00b7\u56fe\u7075\uff1a\u8ba1\u7b97\u7406\u8bba\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u5960\u57fa\u4eba"},"content":{"rendered":"<p>\u672c\u6587\u7531\u300c\u5927\u5343AI\u52a9\u624b\u300d\u539f\u521b\u53d1\u5e03&#xff0c;\u4e13\u6ce8\u7528\u771f\u8bdd\u8bb2AI&#xff0c;\u56de\u5f52\u6280\u672f\u672c\u8d28\u3002\u62d2\u7edd\u795e\u8bdd\u6216\u5996\u9b54\u5316\u3002\u641c\u7d22\u300c\u5927\u5343AI\u52a9\u624b\u300d\u5173\u6ce8\u6211&#xff0c;\u4e00\u8d77\u6495\u6389\u8fc7\u5ea6\u5305\u88c5&#xff0c;\u5b66\u4e60\u771f\u5b9e\u7684AI\u6280\u672f&#xff01;<\/p>\n<h5>1. \u80cc\u666f\u4e0e\u5386\u53f2\u5730\u4f4d<\/h5>\n<p>\u827e\u4f26\u00b7\u9ea6\u5e2d\u68ee\u00b7\u56fe\u7075&#xff08;Alan Mathison Turing, 1912\u20131954&#xff09;\u662f\u82f1\u56fd\u6570\u5b66\u5bb6\u3001\u903b\u8f91\u5b66\u5bb6\u548c\u5bc6\u7801\u5b66\u5bb6&#xff0c;\u88ab\u5c0a\u79f0\u4e3a\u8ba1\u7b97\u673a\u79d1\u5b66\u4e4b\u7236\u4e0e\u4eba\u5de5\u667a\u80fd\u4e4b\u7236\u3002\u4ed6\u5728\u8ba1\u7b97\u7406\u8bba\u3001\u5bc6\u7801\u5b66\u548c\u65e9\u671f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u5f00\u521b\u6027\u5de5\u4f5c&#xff0c;\u4e3a\u73b0\u4ee3\u8ba1\u7b97\u673a\u79d1\u5b66\u4e0e\u4eba\u5de5\u667a\u80fd\u5960\u5b9a\u4e86\u57fa\u77f3\u3002\u56fe\u7075\u4e8e1936\u5e74\u63d0\u51fa\u56fe\u7075\u673a\u6a21\u578b&#xff0c;1950\u5e74\u8bbe\u8ba1\u56fe\u7075\u6d4b\u8bd5&#xff0c;\u5176\u601d\u60f3\u81f3\u4eca\u4ecd\u662f\u8ba1\u7b97\u54f2\u5b66\u4e0e\u667a\u80fd\u8bc4\u4f30\u7684\u6838\u5fc3\u6846\u67b6\u3002<\/p>\n<p>\u672c\u6587\u7531\u300c\u5927\u5343AI\u52a9\u624b\u300d\u539f\u521b\u53d1\u5e03&#xff0c;\u4e13\u6ce8\u7528\u771f\u8bdd\u8bb2AI&#xff0c;\u56de\u5f52\u6280\u672f\u672c\u8d28\u3002\u62d2\u7edd\u795e\u8bdd\u6216\u5996\u9b54\u5316\u3002\u641c\u7d22\u300c\u5927\u5343AI\u52a9\u624b\u300d\u5173\u6ce8\u6211&#xff0c;\u4e00\u8d77\u6495\u6389\u8fc7\u5ea6\u5305\u88c5&#xff0c;\u5b66\u4e60\u771f\u5b9e\u7684AI\u6280\u672f&#xff01;<\/p>\n<p>\u5f80\u671f\u6587\u7ae0\u63a8\u8350:<\/p>\n<ul>\n<li>20.\u56fe\u7075\u6d4b\u8bd5&#xff1a;\u4eba\u5de5\u667a\u80fd\u7684\u201c\u884c\u4e3a\u4e3b\u4e49\u5224\u636e\u201d\u4e0e\u54f2\u5b66\u4e89\u8bae<\/li>\n<li>19.ASQA: \u9762\u5411\u6a21\u7cca\u6027\u4e8b\u5b9e\u95ee\u9898\u7684\u957f\u683c\u5f0f\u95ee\u7b54\u6570\u636e\u96c6\u4e0e\u8bc4\u4f30\u6846\u67b6<\/li>\n<li>18.BGE&#xff1a;\u667a\u6e90\u7814\u7a76\u9662\u7684\u901a\u7528\u5d4c\u5165\u6a21\u578b\u5bb6\u65cf\u2014\u2014\u4ece\u6587\u672c\u5230\u591a\u6a21\u6001\u7684\u8bed\u4e49\u68c0\u7d22\u9769\u547d<\/li>\n<li>17.BM25&#xff1a;\u6982\u7387\u68c0\u7d22\u6846\u67b6\u4e0b\u7684\u7ecf\u5178\u76f8\u5173\u6027\u8bc4\u5206\u7b97\u6cd5<\/li>\n<li>16.TF-IDF&#xff1a;\u4fe1\u606f\u68c0\u7d22\u4e0e\u6587\u672c\u6316\u6398\u7684\u7edf\u8ba1\u6743\u91cd\u57fa\u77f3<\/li>\n<li>15.HumanEval&#xff1a;\u4ee3\u7801\u751f\u6210\u6a21\u578b\u7684\u201c\u9ec4\u91d1\u6807\u5c3a\u201d<\/li>\n<li>14.\u7a20\u5bc6\u68c0\u7d22&#xff1a;\u57fa\u4e8e\u795e\u7ecf\u5d4c\u5165\u7684\u9ad8\u6548\u8bed\u4e49\u641c\u7d22\u8303\u5f0f<\/li>\n<li>13.Haystack&#xff1a;\u9762\u5411\u5927\u6a21\u578b\u5e94\u7528\u7684\u6a21\u5757\u5316\u68c0\u7d22\u589e\u5f3a\u751f\u6210&#xff08;RAG&#xff09;\u6846\u67b6<\/li>\n<li>12.CodePlan&#xff1a;\u57fa\u4e8e\u4ee3\u7801\u5f62\u5f0f\u89c4\u5212\u7684\u5927\u6a21\u578b\u7ed3\u6784\u5316\u63a8\u7406\u65b0\u8303\u5f0f<\/li>\n<li>11.CodeGen&#xff1a;\u9762\u5411\u591a\u8f6e\u7a0b\u5e8f\u5408\u6210\u7684\u5f00\u6e90\u4ee3\u7801\u5927\u8bed\u8a00\u6a21\u578b<\/li>\n<li>10.\u675f\u641c\u7d22&#xff08;Beam Search&#xff09;&#xff1a;\u539f\u7406\u3001\u6f14\u8fdb\u4e0e\u6311\u6218<\/li>\n<li>9.RAGFoundry&#xff1a;\u9762\u5411\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u7684\u6a21\u5757\u5316\u589e\u5f3a\u6846\u67b6<\/li>\n<li>8.TyDi QA&#xff1a;\u9762\u5411\u8bed\u8a00\u7c7b\u578b\u591a\u6837\u6027\u7684\u4fe1\u606f\u68c0\u7d22\u95ee\u7b54\u57fa\u51c6<\/li>\n<li>7.BBH\u8be6\u89e3:\u9762\u5411\u5927\u6a21\u578b\u7684\u9ad8\u9636\u63a8\u7406\u8bc4\u4f30\u57fa\u51c6\u4e0e\u6570\u636e\u96c6\u5206\u6790<\/li>\n<li>6.RepoCoder&#xff1a;\u4ed3\u5e93\u7ea7\u4ee3\u7801\u8865\u5168\u7684\u8fed\u4ee3\u68c0\u7d22\u751f\u6210\u6846\u67b6\u89e3\u6790\u4e0e\u5e94\u7528\u524d\u6cbf<\/li>\n<li>5.RAGAS&#xff1a;\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u7cfb\u7edf\u7684\u65e0\u53c2\u8003\u8bc4\u4f30\u6846\u67b6\u4e0e\u6280\u672f\u89e3\u6790<\/li>\n<li>4.Self-RAG&#xff1a;\u57fa\u4e8e\u81ea\u6211\u53cd\u601d\u7684\u68c0\u7d22\u589e\u5f3a\u751f\u6210\u6846\u67b6\u6280\u672f\u89e3\u6790<\/li>\n<li>3.DocBench&#xff1a;\u9762\u5411\u5927\u6a21\u578b\u6587\u6863\u9605\u8bfb\u7cfb\u7edf\u7684\u8bc4\u4f30\u57fa\u51c6\u4e0e\u6570\u636e\u96c6\u5206\u6790<\/li>\n<li>2.\u54f2\u5b66\u4e2d\u7684\u4e3b\u4f53\u6027&#xff1a;\u5386\u53f2\u6f14\u8fdb\u3001\u7406\u8bba\u8303\u5f0f\u4e0e\u5f53\u4ee3\u91cd\u6784<\/li>\n<li>1.FLAN-T5&#xff1a;\u5927\u89c4\u6a21\u6307\u4ee4\u5fae\u8c03\u7684\u7edf\u4e00\u8bed\u8a00\u6a21\u578b\u6846\u67b6<\/li>\n<\/ul>\n<h5>2. \u6838\u5fc3\u5b66\u672f\u8d21\u732e<\/h5>\n<h6>2.1 \u56fe\u7075\u673a\u4e0e\u53ef\u8ba1\u7b97\u7406\u8bba&#xff08;1936&#xff09;<\/h6>\n<ul>\n<li>\u8bba\u6587\u6807\u9898&#xff1a;On Computable Numbers, with an Application to the Entscheidungsproblem<\/li>\n<li>\u6838\u5fc3\u601d\u60f3&#xff1a;\n<ul>\n<li>\u63d0\u51fa\u62bd\u8c61\u8ba1\u7b97\u6a21\u578b\u201c\u56fe\u7075\u673a\u201d\u2014\u2014\u7531\u65e0\u9650\u957f\u7eb8\u5e26\u3001\u8bfb\u5199\u5934\u548c\u72b6\u6001\u89c4\u5219\u7ec4\u6210&#xff0c;\u53ef\u6a21\u62df\u4efb\u4f55\u7b97\u6cd5\u8fc7\u7a0b\u3002<\/li>\n<li>\u8bc1\u660e\u201c\u505c\u673a\u95ee\u9898\u201d\u4e0d\u53ef\u5224\u5b9a&#xff1a;\u4e0d\u5b58\u5728\u901a\u7528\u7b97\u6cd5\u80fd\u5224\u65ad\u4efb\u610f\u7a0b\u5e8f\u662f\u5426\u7ec8\u6b62\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5f71\u54cd&#xff1a;\n<ul>\n<li>\u4e3a\u51af\u00b7\u8bfa\u4f9d\u66fc\u67b6\u6784\u63d0\u4f9b\u7406\u8bba\u4f9d\u636e&#xff0c;\u5960\u5b9a\u73b0\u4ee3\u8ba1\u7b97\u673a\u903b\u8f91\u57fa\u7840\u3002<\/li>\n<li>\u786e\u7acb\u201c\u4e18\u5947-\u56fe\u7075\u8bba\u9898\u201d&#xff1a;\u6240\u6709\u53ef\u8ba1\u7b97\u51fd\u6570\u5747\u53ef\u7531\u56fe\u7075\u673a\u5b9e\u73b0\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h6>2.2 \u5bc6\u7801\u5b66\u4e0e\u4e8c\u6218\u8d21\u732e&#xff08;1939\u20131945&#xff09;<\/h6>\n<ul>\n<li>Enigma\u5bc6\u7801\u7834\u8bd1&#xff1a;\n<ul>\n<li>\u9886\u5bfc\u56e2\u961f\u8bbe\u8ba1\u5bc6\u7801\u7834\u8bd1\u673aBombe&#xff0c;\u6539\u8fdb\u6ce2\u5170\u7684Bomba\u8bbe\u8ba1&#xff0c;\u7834\u89e3\u5fb7\u519bU\u578b\u6f5c\u8247\u901a\u4fe1\u5bc6\u7801\u3002<\/li>\n<li>\u5386\u53f2\u5b66\u5bb6\u8bc4\u4f30\u5176\u8d21\u732e\u4f7f\u4e8c\u6218\u63d0\u524d2\u5e74\u7ed3\u675f&#xff0c;\u62ef\u6551\u7ea62000\u4e07\u4eba\u751f\u547d\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u6280\u672f\u9057\u4ea7&#xff1a;\n<ul>\n<li>\u7834\u8bd1\u5de5\u4f5c\u4e2d\u79ef\u7d2f\u7684\u7535\u5b50\u8ba1\u7b97\u7ecf\u9a8c&#xff0c;\u76f4\u63a5\u63a8\u52a8\u6218\u540e\u8ba1\u7b97\u673a\u5de5\u7a0b\u53d1\u5c55\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h6>2.3 \u4eba\u5de5\u667a\u80fd\u7684\u5f00\u521b\u6027\u5de5\u4f5c&#xff08;1950&#xff09;<\/h6>\n<ul>\n<li>\u8bba\u6587\u6807\u9898&#xff1a;Computing Machinery and Intelligence<\/li>\n<li>\u6838\u5fc3\u601d\u60f3&#xff1a;\n<ul>\n<li>\u63d0\u51fa\u201c\u6a21\u4eff\u6e38\u620f\u201d&#xff08;\u540e\u79f0\u56fe\u7075\u6d4b\u8bd5&#xff09;&#xff1a;\u82e5\u673a\u5668\u901a\u8fc7\u6587\u672c\u4ea4\u4e92\u4f7f\u4eba\u7c7b\u65e0\u6cd5\u533a\u5206\u5176\u4e0e\u771f\u4eba&#xff0c;\u5219\u89c6\u4e3a\u5177\u6709\u667a\u80fd\u3002<\/li>\n<li>\u9884\u8a002000\u5e74\u524d\u673a\u5668\u53ef\u80fd\u901a\u8fc7\u6d4b\u8bd5&#xff08;\u5b9e\u9645\u5ef6\u81f32014\u5e74Eugene Goostman\u4e8b\u4ef6&#xff09;\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4e89\u8bae\u9884\u5224&#xff1a;\n<ul>\n<li>\u9a73\u65a59\u7c7b\u53cd\u5bf9\u201c\u673a\u5668\u601d\u8003\u201d\u7684\u8bba\u70b9&#xff08;\u5982\u795e\u5b66\u8bba\u3001\u610f\u8bc6\u8bba&#xff09;&#xff0c;\u4e3b\u5f20\u884c\u4e3a\u4e3b\u4e49\u667a\u80fd\u89c2\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h6>2.4 \u795e\u7ecf\u7f51\u7edc\u4e0e\u751f\u7269\u8ba1\u7b97&#xff08;1948\u20131952&#xff09;<\/h6>\n<ul>\n<li>\u300a\u667a\u80fd\u673a\u5668\u300b\u624b\u7a3f&#xff08;1948&#xff09;&#xff1a;\n<ul>\n<li>\u63d0\u51fa\u201c\u65e0\u7ec4\u7ec7\u673a\u5668\u201d&#xff08;B\u578b\u7f51\u7edc&#xff09;&#xff0c;\u4f7f\u7528NAND\u95e8\u968f\u673a\u8fde\u63a5&#xff0c;\u901a\u8fc7\u201c\u9057\u4f20\u641c\u7d22\u201d\u4f18\u5316\u6743\u91cd\u2014\u2014\u5b9e\u4e3a\u795e\u7ecf\u7f51\u7edc\u4e0e\u9057\u4f20\u7b97\u6cd5\u96cf\u5f62\u3002<\/li>\n<li>\u7c7b\u6bd4\u5a74\u513f\u5927\u8111\u76ae\u5c42&#xff0c;\u5f3a\u8c03\u201c\u6559\u80b2\u201d\u53ef\u63d0\u5347\u673a\u5668\u7ec4\u7ec7\u6027\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5f62\u6001\u53d1\u751f\u7814\u7a76&#xff08;1952&#xff09;&#xff1a;\n<ul>\n<li>\u8bba\u6587\u300a\u5f62\u6001\u53d1\u751f\u7684\u5316\u5b66\u57fa\u7840\u300b\u63d0\u51fa\u53cd\u5e94-\u6269\u6563\u65b9\u7a0b&#xff0c;\u89e3\u91ca\u751f\u7269\u56fe\u6848&#xff08;\u5982\u6591\u9a6c\u6761\u7eb9&#xff09;\u751f\u6210\u673a\u5236\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u8868&#xff1a;\u56fe\u7075\u6838\u5fc3\u8d21\u732e\u4e0e\u5f71\u54cd\u9886\u57df<\/p>\n<table>\n<tr>\u9886\u57df\u8d21\u732e\u73b0\u4ee3\u5e94\u7528<\/tr>\n<tbody>\n<tr>\n<td>\u8ba1\u7b97\u7406\u8bba<\/td>\n<td>\u56fe\u7075\u673a\u6a21\u578b<\/td>\n<td>\u7b97\u6cd5\u590d\u6742\u6027\u5206\u6790\u3001\u7a0b\u5e8f\u8bed\u8a00\u8bbe\u8ba1<\/td>\n<\/tr>\n<tr>\n<td>\u4eba\u5de5\u667a\u80fd<\/td>\n<td>\u56fe\u7075\u6d4b\u8bd5<\/td>\n<td>\u5bf9\u8bdd\u7cfb\u7edf\u8bc4\u4f30&#xff08;\u5982ChatGPT&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u5bc6\u7801\u5b66<\/td>\n<td>Bombe\u7834\u8bd1\u673a<\/td>\n<td>\u73b0\u4ee3\u52a0\u5bc6\u7b97\u6cd5\u8bbe\u8ba1<\/td>\n<\/tr>\n<tr>\n<td>\u4ea4\u53c9\u5b66\u79d1<\/td>\n<td>\u53cd\u5e94-\u6269\u6563\u6a21\u578b<\/td>\n<td>\u751f\u7269\u4fe1\u606f\u5b66\u3001\u6750\u6599\u81ea\u7ec4\u7ec7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<h5>3. \u4e2a\u4eba\u751f\u5e73\u4e0e\u60b2\u5267\u6027\u7ed3\u5c40<\/h5>\n<ul>\n<li>\u65e9\u5e74\u4e0e\u6559\u80b2&#xff1a;\n<ul>\n<li>1912\u5e74\u751f\u4e8e\u4f26\u6566&#xff0c;1931\u5e74\u5165\u5251\u6865\u5927\u5b66\u56fd\u738b\u5b66\u9662&#xff0c;23\u5c81\u5f53\u9009\u9662\u58eb\u3002<\/li>\n<li>1936\u20131938\u5e74\u8d74\u666e\u6797\u65af\u987f\u5e08\u4ece\u4e18\u5947&#xff0c;\u63d0\u51fa\u201c\u8d85\u8ba1\u7b97\u201d\u6982\u5ff5&#xff08;\u56fe\u7075\u673a&#043;\u9884\u8a00\u673a&#xff09;\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4e8c\u6218\u4e0e\u6218\u540e&#xff1a;\n<ul>\n<li>1943\u20131945\u5e74\u4efb\u82f1\u7f8e\u5bc6\u7801\u7834\u8bd1\u987e\u95ee&#xff0c;1946\u5e74\u83b7\u5927\u82f1\u5e1d\u56fd\u52cb\u7ae0\u3002<\/li>\n<li>1948\u5e74\u52a0\u5165\u66fc\u5f7b\u65af\u7279\u5927\u5b66&#xff0c;\u8bbe\u8ba1\u9996\u53f0\u5546\u7528\u8ba1\u7b97\u673aFerranti Mark I\u7684\u7f16\u7a0b\u7cfb\u7edf\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8feb\u5bb3\u4e0e\u901d\u4e16&#xff1a;\n<ul>\n<li>1952\u5e74\u56e0\u540c\u6027\u604b\u503e\u5411\u88ab\u5224\u201c\u4e25\u91cd\u7325\u4eb5\u201d&#xff0c;\u88ab\u8feb\u63a5\u53d7\u96cc\u6fc0\u7d20\u6ce8\u5c04&#xff08;\u5316\u5b66\u9609\u5272&#xff09;\u3002<\/li>\n<li>1954\u5e74\u98df\u7528\u6c30\u5316\u7269\u6d78\u6ce1\u7684\u82f9\u679c\u53bb\u4e16&#xff0c;\u8b66\u65b9\u8ba4\u5b9a\u4e3a\u81ea\u6740&#xff08;\u4e89\u8bae\u672a\u89e3&#xff09;\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u5e73\u53cd\u4e0e\u7eaa\u5ff5&#xff1a;\n<ul>\n<li>2009\u5e74\u82f1\u56fd\u9996\u76f8\u5e03\u6717\u516c\u5f00\u9053\u6b49&#xff0c;2013\u5e74\u82f1\u5973\u738b\u4f0a\u4e3d\u838e\u767d\u4e8c\u4e16\u9881\u53d1\u201c\u7687\u5bb6\u8d66\u514d\u201d\u3002<\/li>\n<li>\u56fe\u7075\u5956&#xff08;1966\u5e74\u8bbe\u7acb&#xff09;&#xff1a;\u8ba1\u7b97\u673a\u9886\u57df\u6700\u9ad8\u8363\u8a89&#xff0c;\u83b7\u5956\u8005\u5305\u62ecTim Berners-Lee\u3001Yoshua Bengio\u7b49\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h5>4. \u79d1\u5b66\u9057\u4ea7\u4e0e\u5f53\u4ee3\u5f71\u54cd<\/h5>\n<h6>4.1 \u8ba1\u7b97\u7406\u8bba\u7684\u76f4\u63a5\u5ef6\u7eed<\/h6>\n<ul>\n<li>\u901a\u7528\u8ba1\u7b97\u673a\u5b9e\u73b0&#xff1a;\n<ul>\n<li>\u66fc\u5f7b\u65af\u7279Mark I&#xff08;1949&#xff09;\u4e0eACE\u8ba1\u7b97\u673a\u5747\u57fa\u4e8e\u56fe\u7075\u673a\u7406\u8bba\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8ba1\u7b97\u590d\u6742\u6027\u5206\u7c7b&#xff1a;\n<ul>\n<li>P vs NP\u95ee\u9898\u7b49\u73b0\u4ee3\u7406\u8bba\u7686\u6e90\u4e8e\u56fe\u7075\u53ef\u8ba1\u7b97\u6027\u6846\u67b6\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h6>4.2 \u4eba\u5de5\u667a\u80fd\u7684\u5b9e\u8df5\u9a8c\u8bc1<\/h6>\n<ul>\n<li>\u56fe\u7075\u6d4b\u8bd5\u7684\u6f14\u8fdb&#xff1a;\n<ul>\n<li>2014\u5e74\u804a\u5929\u673a\u5668\u4ebaEugene Goostman\u5728\u96f7\u4e01\u5927\u5b66\u6d4b\u8bd5\u4e2d\u9a97\u8fc733%\u88c1\u5224&#xff08;\u8fbe\u56fe\u7075\u6807\u51c6&#xff09;\u3002<\/li>\n<li>\u5927\u6a21\u578b\u65f6\u4ee3\u4e89\u8bae&#xff1a;ChatGPT\u884c\u4e3a\u903c\u8fd1\u4eba\u7c7b&#xff0c;\u4f46\u88ab\u6307\u7f3a\u4e4f\u771f\u5b9e\u7406\u89e3&#xff08;\u5982\u201c\u4e2d\u6587\u623f\u95f4\u201d\u6096\u8bba&#xff09;\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u795e\u7ecf\u7f51\u7edc\u7684\u590d\u5174&#xff1a;\n<ul>\n<li>1948\u5e74\u201c\u65e0\u7ec4\u7ec7\u673a\u5668\u201d\u9884\u89c1\u4e86\u6df1\u5ea6\u5b66\u4e60\u67b6\u6784&#xff1b;2010\u5e74\u540e\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5168\u9762\u5b9e\u73b0\u5176\u613f\u666f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h6>4.3 \u8de8\u5b66\u79d1\u542f\u53d1\u6027<\/h6>\n<ul>\n<li>\u751f\u7269\u8ba1\u7b97&#xff1a;\n<ul>\n<li>\u53cd\u5e94-\u6269\u6563\u6a21\u578b\u7528\u4e8e\u89e3\u91ca\u80da\u80ce\u53d1\u80b2\u3001\u80bf\u7624\u751f\u957f&#xff0c;\u50ac\u751f\u8ba1\u7b97\u751f\u7269\u5b66\u5206\u652f\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4eba\u5de5\u751f\u547d&#xff1a;\n<ul>\n<li>\u665a\u5e74\u7814\u7a76\u542f\u53d1\u7ec6\u80de\u81ea\u52a8\u673a&#xff08;\u5982\u5eb7\u5a01\u751f\u547d\u6e38\u620f&#xff09;\u4e0e\u8fdb\u5316\u7b97\u6cd5\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr \/>\n<h4>&#x1f4da; \u539f\u59cb\u8bba\u6587\u4e0e\u53c2\u8003\u6587\u732e<\/h4>\n<h5>\u6838\u5fc3\u8bba\u6587<\/h5>\n<li>\n<p>\u56fe\u7075\u673a\u7406\u8bba&#xff08;1936&#xff09; Turing, A. M. (1936). On Computable Numbers, with an Application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, 42(1), 230\u2013265. \u2192 \u53ef\u8bbf\u95ee\u5730\u5740&#xff1a;University of Princeton Archive<\/p>\n<\/li>\n<li>\n<p>\u4eba\u5de5\u667a\u80fd\u4e0e\u56fe\u7075\u6d4b\u8bd5&#xff08;1950&#xff09; Turing, A. M. (1950). Computing Machinery and Intelligence. Mind, 59(236), 433\u2013460. \u2192 \u53ef\u8bbf\u95ee\u5730\u5740&#xff1a;Oxford Academic<\/p>\n<\/li>\n<li>\n<p>\u5f62\u6001\u53d1\u751f\u7406\u8bba&#xff08;1952&#xff09; Turing, A. M. (1952). The Chemical Basis of Morphogenesis. Philosophical Transactions of the Royal Society B, 237(641), 37\u201372. \u2192 \u53ef\u8bbf\u95ee\u5730\u5740&#xff1a;Royal Society Publishing<\/p>\n<\/li>\n<li>\n<p>\u672a\u53d1\u8868\u624b\u7a3f\u300a\u667a\u80fd\u673a\u5668\u300b&#xff08;1948&#xff09; Turing, A. M. (1948). Intelligent Machinery. 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