{"id":33314,"date":"2022-03-24T22:24:00","date_gmt":"2022-03-24T14:24:00","guid":{"rendered":"https:\/\/swarma.org\/?p=33314"},"modified":"2022-03-24T22:24:00","modified_gmt":"2022-03-24T14:24:00","slug":"%e5%a4%8d%e6%9d%82%e7%bb%8f%e6%b5%8e%e5%ad%a6%e7%89%b9%e5%88%8a%ef%bc%9a%e6%9c%80%e5%a4%a7%e7%86%b5%e7%bb%8f%e6%b5%8e%e5%ad%a6%e7%9a%84%e5%9f%ba%e7%a1%80%e5%92%8c%e5%ba%94%e7%94%a8","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=33314","title":{"rendered":"\u590d\u6742\u7ecf\u6d4e\u5b66\u7279\u520a\uff1a\u6700\u5927\u71b5\u7ecf\u6d4e\u5b66\u7684\u57fa\u7840\u548c\u5e94\u7528"},"content":{"rendered":"
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<\/strong>\u7ecf\u6d4e\u7cfb\u7edf\u5305\u542b\u5927\u91cf\u4e3b\u4f53\u7684\u590d\u6742\u76f8\u4e92\u4f5c\u7528\uff0c\u4e3a\u4e86\u5206\u6790\u548c\u7406\u89e3\u590d\u6742\u7ecf\u6d4e\u7cfb\u7edf\uff0c\u6700\u65b0\u7684\u7ecf\u6d4e\u7406\u8bba\u7814\u7a76\u501f\u9274\u4fe1\u606f\u8bba\u548c\u7edf\u8ba1\u7269\u7406\u65b9\u6cd5\uff0c\u5229\u7528\u6700\u5927\u71b5\u539f\u7406\u4e3a\u7ecf\u6d4e\u73b0\u8c61\u7684\u7814\u7a76\u63d0\u4f9b\u65b0\u89c6\u89d2\u3002The European Physical Journal<\/em> \u57282020\u5e74\u63a8\u51fa\u300a\u6700\u5927\u71b5\u7ecf\u6d4e\u5b66\uff1a\u57fa\u7840\u548c\u5e94\u7528\u300b\u7279\u520a\u5408\u96c6\uff0c\u6c47\u96c6\u4e86\u8be5\u9886\u57df\u7684\u4e00\u7cfb\u5217\u6700\u65b0\u7814\u7a76\uff0c\u4ee5\u671f\u5bf9\u6700\u5927\u71b5\u7ecf\u6d4e\u5b66\u8fdb\u884c\u5efa\u8bbe\u6027\u8ba8\u8bba\uff0c\u4fc3\u8fdb\u8be5\u9886\u57df\u7684\u8fdb\u4e00\u6b65\u53d1\u5c55\u3002\u672c\u6587\u662f\u5bf9\u5408\u96c6\u5bfc\u8a00\u548c\u5176\u4e2d10\u7bc7\u8bba\u6587\u6458\u8981\u7684\u7ffb\u8bd1\u3002<\/span><\/strong><\/p>\n


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Ellis Scharfenaker\u3001Jangho Yang\u7b49<\/span> <\/span>| \u4f5c\u8005<\/strong><\/span><\/p>\n

\u90ed\u745e\u4e1c\u3001\u6881\u91d1<\/span> | \u8bd1\u8005<\/strong><\/span><\/strong><\/span><\/p>\n

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\u7279\u520a\u540d\u79f0\uff1a<\/span><\/p>\n

Maximum Entropy Economics: Foundations and Applications<\/span><\/p>\n

\u7279\u520a\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/journal\/11734\/topicalCollection\/AC_03ac575077a5031daf37b0e932bf779d<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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1\u3001\u6700\u5927\u71b5\u7ecf\u6d4e\u5b66<\/span><\/strong><\/h1>\n

2\u3001\u4fe1\u606f\u8bba\u548c\u884c\u4e3a<\/span><\/strong><\/h1>\n

3\u3001\u7ecf\u6d4e\u7cfb\u7edf\u4e2d\u7684\u7edf\u8ba1\u5747\u8861\uff1a\u793e\u4f1a\u7ec4\u5408\u8fd8\u662f\u4e2a\u4eba-\u8fd8\u539f\u63cf\u8ff0\uff1f<\/span><\/strong><\/h1>\n

4\u3001\u590d\u6742\u7cfb\u7edf\u5206\u6790\u7684\u4e24\u4e2a\u6545\u4e8b\uff1a\u6700\u5927\u71b5\u548c\u57fa\u4e8e\u4e3b\u4f53\u5efa\u6a21<\/span><\/strong><\/h1>\n

5\u3001\u4ec0\u4e48\u662f\u89e3\u91ca\uff1f\u7edf\u8ba1\u7269\u7406\u548c\u7ecf\u6d4e\u5b66<\/span><\/strong><\/span><\/h1>\n

6\u3001\u804c\u4e1a\u5957\u5229\u5747\u8861\u4f5c\u4e3a<\/strong><\/span>\u4e00\u4e2a\u6700\u5927\u71b5\u89e3<\/span><\/strong><\/h1>\n

7\u3001\u7ecf\u6d4e\u7269\u7406\u5b66\u4e2d\u7684\u7ecf\u6d4e<\/span><\/strong><\/h1>\n

8\u3001\u6df7\u5408\u5728\u4e00\u8d77<\/span><\/strong><\/h1>\n

9\u3001\u80fd\u6e90\u6d88\u8d39\u4e2d\u7684\u4e0d\u5e73\u7b49\uff1a\u7edf\u8ba1\u5747\u8861\u8fd8\u662f\u4f1a\u8ba1\u8bb0\u8d26\u60ef\u4f8b\u95ee\u9898\uff1f<\/span><\/strong><\/h1>\n

10\u3001\u6700\u5927\u71b5\u65b9\u6cd5\u4f5c\u4e3a\u5e02\u573a\u6ce2\u52a8\u5efa\u6a21\u7684\u4e00\u4e2a\u6709\u6f5c\u529b\u7684\u66ff\u4ee3<\/span><\/strong><\/h1>\n


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Maximum entropy economics: where do we stand?<\/span><\/p>\n

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https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-000030-3<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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Scharfenaker \u548c Yang [4]\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u7ecf\u6d4e\u5b66\u4e2d\u7edf\u8ba1\u601d\u7ef4\u7684\u5386\u53f2\uff0c\u4ed6\u4eec\u4e3b\u5f20\u7edf\u8ba1\u5b66\u65b9\u6cd5\u8bba\u5728\u7ecf\u6d4e\u7406\u8bba\u4e2d\u7684\u91cd\u8981\u6027\u3002\u4ed6\u4eec\u8ba4\u4e3a\uff0c\u5bf919\u4e16\u7eaa\u653f\u6cbb\u7ecf\u6d4e\u5b66\u601d\u60f3\u5177\u6709\u5960\u57fa\u6027\u7684\u7edf\u8ba1\u601d\u7ef4\u4e4b\u540e\u88ab\u8fb9\u9645\u4e3b\u4e49\u65b9\u6cd5\u6240\u5ffd\u7565\uff0c\u8fd9\u5bfc\u81f4\u4e86\u5f53\u4eca\u7ecf\u6d4e\u5b66\u7406\u8bba\u9610\u8ff0\u548c\u7ecf\u6d4e\u6d4b\u91cf\u4e2d\u7684\u95ee\u9898\u3002\u5c3d\u7ba1\u7ecf\u6d4e\u7269\u7406\u5b66\u5bb6\u8bd5\u56fe\u901a\u8fc7\u7269\u7406\u7c7b\u6bd4\u548c\u4f7f\u7528\u7edf\u8ba1\u529b\u5b66\u7684\u65b9\u6cd5\u6765\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u4f46\u5728\u8303\u56f4\u548c\u89e3\u91ca\u76ee\u7684\u65b9\u9762\u4ecd\u7136\u6709\u6240\u6b20\u7f3a\u3002\u4ed6\u4eec\u6982\u8ff0\u4e86\u4e00\u4e2a\u66f4\u666e\u9002\u7684\u8ba1\u5212\uff1a\u5c06\u57fa\u4e8e\u4fe1\u606f\u8bba\u7684\u6700\u5927\u71b5\u539f\u7406\u5e94\u7528\u4e8e\u7ecf\u6d4e\u5b66\u3002<\/span><\/p>\n


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Duncan Foley [5] \u5bf9\u4f7f\u7528\u4fe1\u606f\u8bba\u6765\u53d1\u5c55\u7ecf\u6d4e\u6a21\u578b\u7ed9\u51fa\u4e86\u7406\u8bba\u8bba\u8bc1\u3002\u4ed6\u8ba4\u4e3a\uff0c\u6807\u51c6\u7ecf\u6d4e\u6a21\u578b\u7684\u5047\u8bbe\u662f\u201c\u5177\u6709\u5b8c\u5168\u548c\u4e00\u81f4\u504f\u597d\u7684\u6536\u76ca\u6700\u5927\u5316\u7684\u7ecf\u6d4e\u4e3b\u4f53\u201d\uff0c\u8fd9\u4e0e\u5e7f\u6cdb\u89c2\u5bdf\u5230\u7684\u8868\u73b0\u51fa\u76f8\u5f53\u7a0b\u5ea6\u4e0d\u786e\u5b9a\u6027\u548c\u4e0d\u4e00\u81f4\u6027\u7684\u4eba\u7c7b\u884c\u4e3a\u5b58\u5728\u6839\u672c\u4e0d\u4e00\u81f4\u3002Foley \u63d0\u51fa\u4e86\u71b5\u7ea6\u675f\u7ecf\u6d4e\u4e3b\u4f53\u7684\u6700\u5927\u71b5\u6a21\u578b\uff0c\u5e76\u8868\u660e\u8bf8\u5982\u7980\u8d4b\u6548\u5e94\u3001\u635f\u5931\u538c\u6076\u548c\u566a\u97f3\u4ea4\u6613\u7b49\u4e00\u7cfb\u5217\u7ecf\u6d4e\u73b0\u8c61\uff0c\u53ef\u4ee5\u7406\u89e3\u4e3a\u71b5\u7ea6\u675f\u884c\u4e3a\u7684\u7ed3\u679c\u3002<\/span><\/p>\n


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Kanbur \u548c Venkatasubramanian [6] \u8ba8\u8bba\u4e86\u5728\u7ecf\u6d4e\u5b66\u4e2d\u91c7\u7528\u6700\u5927\u71b5\u65b9\u6cd5\u7684\u5fae\u89c2\u57fa\u7840\u3002\u4ed6\u4eec\u8ba4\u4e3a\u7ecf\u6d4e\u7269\u7406\u5b66\u6587\u732e\u4e2d\u7684\u8bb8\u591a\u6700\u5927\u71b5\u6a21\u578b\uff0c\u6ca1\u6709\u5b9e\u73b0\u71b5\u6700\u5927\u5316\u548c\u6536\u76ca\/\u6548\u7528\u6700\u5927\u5316\u4e4b\u95f4\u7684\u5bf9\u5076\u3002\u4ee5\u804c\u4e1a\/\u6536\u5165\u5206\u914d\u4e3a\u4f8b\uff0c\u4ed6\u4eec\u8bc1\u660e\u8fd9\u79cd\u5bf9\u5076\u7684\u5b58\u5728\uff0c\u5373\u5bf9\u4e8e\u5177\u6709\u7279\u5b9a\u504f\u597d\u7684\u4e2a\u4f53\u6765\u8bf4\uff0c\u804c\u4e1a\u9009\u62e9\u7684\u5747\u8861\u7b49\u4ef7\u4e8e\u5728\u4e2a\u4f53\u804c\u4e1a\u5206\u5e03\u7684\u7ea6\u675f\u6761\u4ef6\u4e0b\u6700\u5927\u5316\u71b5\u6cdb\u51fd\u3002<\/span><\/p>\n


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Paulo dos Santos [7] \u8ba8\u8bba\u4e86\u7ecf\u6d4e\u7cfb\u7edf\u4e2d\u6700\u5927\u71b5\u65b9\u6cd5\u7684\u57fa\u7840\uff0c\u805a\u7126\u4e8e\u5bf9\u7edf\u8ba1\u5747\u8861\u7684\u793e\u4f1a\u7ec4\u5408\u523b\u753b\u3002\u4ed6\u8ba4\u4e3a\uff0c\u7531\u4e8e\u7ecf\u6d4e\u7cfb\u7edf\u7531\u590d\u6742\u7684\u76f8\u4e92\u4f5c\u7528\u7684\u4e2a\u4f53\u5851\u9020\uff0c\u5bf9\u6f5c\u5728\u5747\u8861\u5206\u5e03\u7684\u7ec4\u5408\u63cf\u8ff0\u76f8\u6bd4\u5bf9\u5fae\u89c2\u52a8\u529b\u5b66\u7684\u7ec6\u8282\u63cf\u8ff0\u66f4\u6700\u9002\u5408\u4e8e\u7ecf\u6d4e\u5206\u6790\u3002\u4ed6\u6bd4\u8f83\u4e86\u6700\u5927\u71b5\u65b9\u6cd5\u4e0e\u4e24\u7c7b\u4e2a\u4eba\u4e3b\u4e49\u8005-\u8fd8\u539f\u8bba\u8005\u5bf9\u7edf\u8ba1\u5747\u8861\u7684\u63cf\u8ff0\uff1a\u5fae\u89c2\u7ecf\u6d4e\u7684\u6a2a\u622a\u9762\u6a21\u578b<\/span>\uff08Micro-econometric cross-sectional model\uff09<\/span>\u548c\u6f02\u79fb-\u6269\u6563\u6a21\u578b<\/span>\uff08drift-diffusion model\uff09<\/span>\u3002<\/span><\/p>\n


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\u591a\u4f4d\u4f5c\u8005\u5728\u590d\u6742\u7ecf\u6d4e\u5b66\u8fd9\u4e2a\u66f4\u5e7f\u9614\u7684\u80cc\u666f\u4e0b\u8ba8\u8bba\u6700\u5927\u71b5\u539f\u5219\u3002Yang \u548c Carro [8] \u6bd4\u8f83\u4e86\u6700\u5927\u71b5\u539f\u7406\u548c\u57fa\u4e8e\u4e3b\u4f53\u5efa\u6a21\u3002\u4ed6\u4eec\u6307\u51fa\u8fd9\u4e24\u79cd\u65b9\u6cd5\u76f8\u4e92\u8865\u5145\uff0c\u4e3a\u5206\u6790\u590d\u6742\u7684\u7ecf\u6d4e\u95ee\u9898\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u6709\u529b\u7684\u6982\u5ff5\u53ca\u5b9e\u7528\u5de5\u5177\u3002\u4f7f\u7528\u4e24\u79cd\u7ecf\u6d4e\u5b66\u6a21\u578b\uff0c\u4ed6\u4eec\u6307\u51fa\u6700\u5927\u71b5\u65b9\u6cd5\u53ef\u4ee5\u6307\u5bfc\u6784\u5efa\u521d\u6b65\u8fd1\u4f3c\u7684\u57fa\u4e8e\u4e3b\u4f53\u7684\u6a21\u578b\uff0c\u8fd9\u4e9b\u6a21\u578b\u53cd\u8fc7\u6765\u53ef\u4ee5\u7528\u6765\u8ddf\u8e2a\u4e0d\u53ef\u9006\u548c\u975e\u5e73\u8861\u52a8\u529b\u5b66\uff0c\u4ece\u800c\u6539\u8fdb\u539f\u6709\u7684\u6700\u5927\u71b5\u6a21\u578b\u3002<\/span><\/p>\n


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Ozlem Omar [9] \u6bd4\u8f83\u548c\u5bf9\u6bd4\u4e86\u5bf9\u4f4f\u623f\u5e02\u573a\u5efa\u6a21\u7684\u5404\u79cd\u590d\u6742\u7684\u7ecf\u6d4e\u65b9\u6cd5\uff0c\u5305\u62ec\u5bf9\u6570\u5468\u671f\u5e42\u5f8b\u6a21\u578b\u3001\u5f02\u8d28\u4e3b\u4f53\u6a21\u578b\uff0c\u548c\u4e2a\u4f53\u53cd\u5e94\u7edf\u8ba1\u5747\u8861\u6a21\u578b<\/span>\uff08Quantal Response Statistical Equilibrium Models\uff0cQRSE\uff09<\/span>\u3002\u5979\u6307\u51fa QRSE \u6a21\u578b\u662f\u6700\u6709\u5e0c\u671b\u5bf9\u5e02\u573a\u6ce2\u52a8\u8fdb\u884c\u5efa\u6a21\u7684\uff0c\u56e0\u4e3a\u5b83\u5f15\u5165\u4e86\u5173\u4e8e\u5747\u8861\u7684\u201c\u4e00\u822c\u6027\u6846\u67b6\u201d\uff0c\u5176\u4e2d\u4f20\u7edf\u7684\u5e02\u573a\u51fa\u6e05\u5747\u8861\u53ea\u662f\u4f5c\u4e3a\u7ecf\u6d4e\u7cfb\u7edf\u7684\u4e00\u79cd\u7279\u6b8a\u72b6\u6001\u5b58\u5728\u3002Schneider \u548c Scharfenaker [10] \u5bf9\u7ecf\u6d4e\u7269\u7406\u5b66\u4e2d\u4f7f\u7528\u7684\u591a\u79cd\u6709\u9650\u6df7\u5408\u6a21\u578b\u7ed9\u51fa\u7efc\u8ff0\u3002\u4f5c\u8005\u63a2\u8ba8\u4e86\u6709\u9650\u6df7\u5408\u6a21\u578b\u53ef\u4ee5\u600e\u6837\u4ece\u7edf\u8ba1\u5747\u8861\u7684\u89d2\u5ea6\u7406\u89e3\uff0c\u5e76\u5229\u7528\u7f8e\u56fd\u6536\u5165\u6570\u636e\u68c0\u9a8c\u51e0\u4e2a\u6df7\u5408\u6a21\u578b\u3002<\/span><\/p>\n


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\u6700\u540e\uff0c\u7279\u520a\u5305\u542b\u4e86\u5bf9\u5728\u7ecf\u6d4e\u5b66\u4e2d\u91c7\u7528\u6700\u5927\u71b5\u65b9\u6cd5\u7684\u4e24\u4e2a\u91cd\u8981\u7684\u6279\u5224\u6027\u8bc4\u4f30\u3002Reddy [11] \u901a\u8fc7\u5bf9\u6bd4\u904d\u5386\u6027\u548c\u4fe1\u606f\u8bba\u89c6\u89d2\uff0c\u6216\u8005\u4ed6\u6240\u8c13\u7684\u201c\u8fc7\u7a0b\u201d\u548c\u201c\u8ba4\u8bc6\u8bba\u201d\u89c2\u70b9\uff0c\u4ece\u79d1\u5b66\u89e3\u91ca\u65b9\u9762\u8bc4\u4ef7\u4e86\u6700\u5927\u71b5\u3002\u504f\u597d\u201c\u826f\u597d\u6307\u5b9a\u7684\u8fc7\u7a0b\u201d\u8bc1\u660e\u4e86\u904d\u5386\u89c6\u89d2\u5982\u4f55\u53ef\u4ee5\u5728\u4e00\u4e2a\u71b5\u6700\u5927\u5316\u7684\u5957\u5229\u52a8\u6001\u968f\u673a\u6a21\u578b\u4e2d\u4ea7\u751f\u5747\u8861\u7ed3\u679c\u3002\u7c7b\u4f3c\u5730\uff0cShaikh [12] \u4e5f\u8ba4\u4e3a\u7ecf\u6d4e\u73b0\u8c61\u5e94\u8be5\u662f\u660e\u786e\u754c\u5b9a\u7684\u7ecf\u6d4e\u8fc7\u7a0b\uff0c\u800c\u4e0d\u662f\u71b5\u6700\u5927\u5316\u8fc7\u7a0b\u7684\u7ed3\u679c\u3002<\/span><\/p>\n


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Semieniuk \u548c Weber [13] \u8ba8\u8bba\u4e86\u7ecf\u6d4e\u7269\u7406\u5b66\u5bb6\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\uff1a\u4f7f\u7528\u6700\u5927\u71b5\u65b9\u6cd5\u63a2\u8ba8\u80fd\u6e90\u6d88\u8d39\u4e0d\u5e73\u7b49\u3002\u4ed6\u4eec\u8ba4\u4e3a\uff0c\u9009\u62e9\u4f1a\u8ba1\u6846\u67b6\u662f\u4e00\u79cd\u60ef\u4f8b\uff0c\u800c\u4e0d\u662f\u53ef\u4ee5\u7528\u4e8e\u4f20\u7edf\u610f\u4e49\u4e0a\u7684\u6700\u5927\u71b5\u63a8\u7406\u7684\u4fe1\u606f\u3002\u6700\u5927\u71b5\u65b9\u6cd5\u96be\u4ee5\u9009\u62e9\u201c\u6b63\u786e\u7684\u201d\u4f1a\u8ba1\u60ef\u4f8b\uff0c\u56e0\u4e3a\u53ef\u80fd\u4e0d\u6b62\u4e00\u4e2a\u6216\u8005\u53ef\u80fd\u4e00\u4e2a\u4e5f\u6ca1\u6709\u3002\u4ed6\u4eec\u6307\u51fa\uff0c\u57fa\u4e8e\u4fe1\u606f\u8bba\u6700\u5927\u71b5\u63a8\u7406\u505a\u51fa\u7684\u9884\u6d4b\uff0c\u5bf9\u793e\u4f1a\u4e60\u60ef\u9009\u62e9\u90a3\u79cd\u4f1a\u8ba1\u60ef\u4f8b\u662f\u654f\u611f\u7684\u3002<\/span><\/p>\n


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\u6211\u4eec\u5e0c\u671b\u8be5\u5408\u96c6\u80fd\u591f\u6709\u52a9\u4e8e\u5bf9\u6700\u5927\u71b5\u7ecf\u6d4e\u5b66\u8fdb\u884c\u5efa\u8bbe\u6027\u7684\u8ba8\u8bba\uff0c\u5e76\u4fc3\u8fdb\u8be5\u9886\u57df\u7684\u8fdb\u4e00\u6b65\u6210\u679c\u3002<\/span><\/p>\n


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\u53c2\u8003\u8d44\u6599<\/span><\/strong><\/span><\/p>\n

1. R.N. Mantegna, H.E. Stanley, An Introduction to Econophysics: Correlations and<\/span><\/p>\n

Complexity in Finance (Cambridge University Press, Cambridge, UK, 1999)<\/span><\/p>\n

2. J.L. McCauley, Dynamics of Markets: The New Financial Economics (Cambridge<\/span><\/p>\n

University Press, 2009)<\/span><\/p>\n

3. A. Chatterjee, S. Yarlagadda, B.K. Chakrabarti, eds., Econophysics of Wealth<\/span><\/p>\n

Distributions: Econophys-Kolkata I, New Economic Windows (Springer-Verlag<\/span><\/p>\n

Mainland, 2005)<\/span><\/p>\n

4. E. Scharfernaker, J. Yang, Eur. Phys. J. Special Topics 229, 1577 (2020)<\/span><\/p>\n

5. D.K. Foley, Eur. Phys. J. Special Topics 229, 1591 (2020)<\/span><\/p>\n

6. R. Kanbur, V. Venkatasubramanian, Eur. Phys. J. Special Topics 229, 1661 (2020)<\/span><\/p>\n

7. P.L. dos Santos, Eur. Phys. J. Special Topics 229, 1603 (2020)<\/span><\/p>\n

8. J. Yang, A. Carro, Eur. Phys. J. Special Topics 229, 1623 (2020)<\/span><\/p>\n

9. \u00a8O. \u00a8Omer, Eur. Phys. J. Special Topics 229, 1715 (2020)<\/span><\/p>\n

10. M.P.A. Schneider, E. Scharfenaker, Eur. Phys. J. Special Topics 229, 1685 (2020)<\/span><\/p>\n

11. S. Reddy, Eur. Phys. J. Special Topics 229, 1645 (2020)<\/span><\/p>\n

12. A. Shaikh, Eur. Phys. J. Special Topics 229, 1675 (2020)<\/span><\/p>\n

13. G. Semieniuk, I.M. Weber, Eur. Phys. J. Special Topics 229, 1705 (2020)<\/span><\/p>\n


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Maximum entropy economics<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-000029-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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Information theory and behavior<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

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3. <\/strong><\/strong>\u7ecf\u6d4e\u7cfb\u7edf\u4e2d\u7684\u7edf\u8ba1\u5747\u8861\uff1a<\/strong><\/p>\n

\u793e\u4f1a\u7ec4\u5408\u8fd8\u662f\u4e2a\u4eba-\u8fd8\u539f\u63cf\u8ff0\uff1f<\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee<\/span>\uff1a<\/span><\/span><\/p>\n

Statistical equilibria in economic systems: Socio-combinatorial or individualist-reductionist characterizations?<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900157-8<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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4. <\/strong><\/strong>\u590d\u6742\u7cfb\u7edf\u5206\u6790\u7684\u4e24\u4e2a\u6545\u4e8b\uff1a<\/span><\/strong><\/p>\n

\u6700\u5927\u71b5\u548c\u57fa\u4e8e\u4e3b\u4f53\u5efa\u6a21<\/span><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Two tales of complex system analysis: MaxEnt and agent-based modeling<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900137-x<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4e3a\u4e86\u8bf4\u660e\u8fd9\u4e24\u79cd\u65b9\u6cd5\u7684\u4e92\u8865\u6027\uff0c\u6211\u4eec\u4f7f\u7528\u4e86\u4e24\u4e2a\u57fa\u4e8e\u6700\u5927\u71b5\u539f\u7406\u7684\u7b80\u5355\u7ecf\u6d4e\u6a21\u578b\u2014\u2014\u4e2a\u4f53\u53cd\u5e94\u793e\u4f1a\u4ea4\u4e92\u6a21\u578b\u548c\u5e02\u573a\u53cd\u9988\u6a21\u578b\uff0c\u5e76\u4e3a\u6b64\u5efa\u7acb\u57fa\u4e8e\u4e3b\u4f53\u7684\u7b49\u4ef7\u6a21\u578b\u3002\u4e00\u65b9\u9762\uff0c\u8fd9\u4f7f\u6211\u4eec\u80fd\u591f\u7a81\u51fa\u6700\u5927\u71b5\u6a21\u578b\u7684\u6f5c\u529b\uff0c\u4ee5\u6307\u5bfc\u57fa\u7840\u7262\u56fa\u7684\u521d\u7ea7\u8fd1\u4f3c\u7684\u57fa\u4e8e\u4e3b\u4f53\u6a21\u578b\u7684\u826f\u597d\u53d1\u5c55\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6211\u4eec\u4e5f\u80fd\u591f\u8bc1\u660e\u57fa\u4e8e\u4e3b\u4f53\u7684\u6a21\u578b\u5728\u8ddf\u8e2a\u4e0d\u53ef\u9006\u548c\u975e\u5e73\u8861\u52a8\u529b\u5b66\u4ee5\u53ca\u63a2\u7d22\u4e3b\u4f53\u5f02\u8d28\u6027\u7684\u7ed3\u679c\u4e0a\u7684\u80fd\u529b\uff0c\u4ece\u800c\u5728\u6839\u672c\u4e0a\u6539\u8fdb\u539f\u6709\u7684\u6700\u5927\u71b5\u6a21\u578b\uff0c\u6307\u5bfc\u5176\u53ef\u80fd\u7684\u8fdb\u4e00\u6b65\u6269\u5c55\u3002<\/span><\/p>\n

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5. <\/strong><\/strong>\u4ec0\u4e48\u662f\u89e3\u91ca\uff1f\u7edf\u8ba1\u7269\u7406\u548c\u7ecf\u6d4e\u5b66<\/strong><\/p>\n<\/section>\n

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What is an explanation? Statistical physics and economics<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900262-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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6. \u804c<\/strong><\/strong>\u4e1a\u5957\u5229\u5747\u8861\u4f5c\u4e3a\u4e00\u4e2a\u6700\u5927\u71b5\u89e3<\/strong><\/p>\n<\/section>\n

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Occupational arbitrage equilibrium as an entropy maximizing solution<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900140-9<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5bf9\u4e8e\u5c06\u71b5\u6700\u5927\u5316\u89c2\u70b9\u5e94\u7528\u4e8e\u7ecf\u6d4e\u5b66\u4e2d\u7684\u6536\u5165\u5206\u914d\u73b0\u8c61\u7684\u5c1d\u8bd5\uff0c\u4e00\u4e2a\u5e38\u89c1\u7684\u6279\u8bc4\u662f\uff0c\u5b83\u4eec\u6ca1\u6709\u5bf9\u4e2a\u4eba\u9009\u62e9\u8fdb\u884c\u9002\u5f53\u523b\u753b\uff0c\u800c\u8fd9\u6b63\u662f\u7ecf\u6d4e\u6a21\u578b\u7684\u6838\u5fc3\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u53ef\u80fd\u7684\u6865\u6881\u6765\u8fde\u63a5\u8fd9\u4e24\u4e2a\u770b\u4f3c\u72ec\u7acb\u7684\u8bba\u8ff0\u3002\u901a\u8fc7\u4e00\u4e2a\u5177\u4f53\u7684\u4f8b\u5b50\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u4e2a\u4eba\u5728\u804c\u4e1a\u4e4b\u95f4\u8fdb\u884c\u9009\u62e9\u8fd9\u4e00\u4f20\u7edf\u6a21\u578b\u53ef\u4ee5\u5bfc\u81f4\u7ecf\u6d4e\u5747\u8861\uff0c\u8fd9\u79cd\u5747\u8861\u540c\u6837\u53ef\u4ee5\u88ab\u63cf\u8ff0\u4e3a\u4e2a\u4eba\u5728\u4e0d\u540c\u804c\u4e1a<\/span>\uff08\u53ca\u8fde\u5e26\u6536\u5165\uff09<\/span>\u95f4\u5206\u5e03\u7684\u71b5\u6700\u5927\u5316\u7684\u7ed3\u679c\u3002\u8fd9\u79cd\u804c\u4e1a\u9009\u62e9\u7684\u89e3\u91ca\u53ef\u4ee5\u63d0\u4f9b\u7ecf\u6d4e\u548c\u5236\u5ea6\u57fa\u7840\uff0c\u5230\u76ee\u524d\u4e3a\u6b62\uff0c\u4e0a\u8ff0\u8fc7\u7a0b\u7ecf\u5e38\u88ab\u63cf\u8ff0\u4e3a\u4ece\u4e00\u4e2a\u5b66\u79d1\u5230\u53e6\u4e00\u4e2a\u5b66\u79d1\u7684\u65b9\u6cd5\u7684\u673a\u68b0\u8f6c\u79fb\uff0c\u6ca1\u6709\u5b9e\u8d28\u6027\u5185\u5bb9\u3002\u672c\u6587\u63d0\u4f9b\u7684\u8bf4\u660e\u662f\u63a2\u7d22\u804c\u4e1a\u9009\u62e9\u548c\u6700\u5927\u71b5\u65b9\u6cd5\u5728\u6a21\u62df\u6536\u5165\u5206\u914d\u7ed3\u679c\u65b9\u9762\u53ef\u80fd\u5b58\u5728\u7684\u8054\u7cfb\u7684\u7b2c\u4e00\u6b65\u3002<\/span><\/p>\n

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7. <\/strong><\/strong>\u7ecf\u6d4e\u7269\u7406\u5b66\u4e2d\u7684\u7ecf\u6d4e<\/strong><\/span><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

The econ in econophysics<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900204-5<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u73b0\u4ee3\u7814\u7a76\u8005\u5df2\u7ecf\u8bc6\u522b\u51fa\u4e86\u5404\u79cd\u5f15\u4eba\u6ce8\u76ee\u7684\u7ecf\u6d4e\u6a21\u5f0f\uff0c\u6700\u91cd\u8981\u7684\u662f\u90a3\u4e9b\u6d89\u53ca\u6536\u5165\u5206\u914d\u548c\u5229\u6da6\u7387\u7684\u6a21\u5f0f\u3002\u6700\u8fd1\uff0c\u7ecf\u6d4e\u7269\u7406\u5b66\u6587\u732e\u5df2\u7ecf\u8bc1\u660e\uff0c\u5e95\u5c42\u6536\u5165\u9075\u5faa\u6307\u6570\u5206\u5e03\uff0c\u9876\u5c42\u6536\u5165\u9075\u5faa\u5e15\u7d2f\u6258\u5206\u5e03\uff0c\u5229\u6da6\u7387\u5448\u5e10\u7bf7\u72b6\u5206\u5e03\u3002\u672c\u6587\u5173\u6ce8\u7684\u662f\u8fd9\u4e9b\u73b0\u8c61\u7684\u5404\u79cd\u89e3\u91ca\u80cc\u540e\u7684\u7406\u8bba\u3002\u4f20\u7edf\u7684\u7ecf\u6d4e\u7269\u7406\u5b66\u4f9d\u8d56\u4e8e\u6ee1\u8db3\u80fd\u91cf\u5b88\u6052\u7684\u201c\u7c92\u5b50\u78b0\u649e\u201d\u6a21\u578b\uff0c\u5176\u4e2d\u6a21\u62df\u7ecf\u5e38\u88ab\u7528\u6765\u63a8\u5bfc\u51fa\u5e73\u7a33\u5206\u5e03\u3002Jaynes\u65b9\u6cd5\u4f9d\u8d56\u4e8e\u4e00\u5b9a\u7ea6\u675f\u6761\u4ef6\u4e0b\u7684\u71b5\u6700\u5927\u5316\u6765\u63a8\u65ad\u6700\u7ec8\u5206\u5e03\u3002\u672c\u6587\u8ba4\u4e3a\uff0c\u7ecf\u6d4e\u73b0\u8c61\u5e94\u8be5\u662f\u663e\u6027\u7ecf\u6d4e\u8fc7\u7a0b\u7684\u7ed3\u679c\uff0c\u4f8b\u5982\uff0c\u7531\u4f01\u4e1a\u4f9b\u7ed9\u51b3\u7b56\u9a71\u52a8\u7684\u8fdb\u5165\u548c\u9000\u51fa\u8fc7\u7a0b\uff0c\u662f\u5de5\u8d44\u3001\u5229\u606f\u548c\u5229\u6da6\u7387\u5957\u5229\u7684\u6f02\u79fb-\u6269\u6563\u5f62\u5f0f\u7684\u57fa\u7840\u3002\u8fd9\u4e9b\u8fc7\u7a0b\u4ea7\u751f\u5e73\u7a33\u5206\u5e03\uff0c\u7ed3\u679c\u540c\u6837\u662f\u71b5\u6700\u5927\u5316\u3002\u5728\u5957\u5229\u65b9\u6cd5\u4e2d\uff0c\u71b5\u6700\u5927\u5316\u662f\u7ed3\u679c\u3002\u5728 Jaynes \u65b9\u6cd5\u4e2d\uff0c\u71b5\u6700\u5927\u5316\u662f\u624b\u6bb5\u3002<\/span><\/p>\n

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8. \u6df7\u5408\u5728\u4e00\u8d77<\/strong><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Mixing it up<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900130-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u6211\u4eec\u4e3a\u4f7f\u7528\u6709\u9650\u7ec4\u5206\u7684\u5206\u914d\u6df7\u5408\u6a21\u578b\u6765\u7814\u7a76\u6536\u5165\u5206\u914d\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u77ed\u7efc\u8ff0\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u6709\u9650\u6df7\u5408\u6a21\u578b\u5728\u5404\u4e2a\u9886\u57df\u90fd\u6709\u8bb8\u591a\u5e94\u7528\uff0c\u4f46\u5b83\u4eec\u901a\u5e38\u662f\u51fa\u4e8e\u7406\u8bba\u4e0a\u8003\u8651\u3002\u5728\u6536\u5165\u5206\u914d\u7684\u5e94\u7528\u6709\u9650\u6df7\u5408\u6a21\u578b\u63d0\u4f9b\u4e86\u5bf9\u6df7\u5408\u4f53\u4e2d\u7ec4\u6210\u90e8\u5206\u7684\u6570\u91cf\u548c\u7c7b\u578b\u7684\u8054\u5408\u63a8\u65ad\uff0c\u4e0e\u89c2\u5bdf\u6570\u636e\u5728\u4e0d\u540c\u6536\u5165\u4ea7\u751f\u673a\u5236\u4e2d\u7684\u7edf\u8ba1\u7279\u5f81\u76f8\u5bf9\u5e94\u3002\u8fd9\u4e00\u9886\u57df\u7684\u8bb8\u591a\u8d21\u732e\u90fd\u662f\u57fa\u4e8e\u5bf9\u8fd9\u4e00\u63a8\u7406\u95ee\u9898\u7684\u9690\u5f0f<\/span>\uff08\u6709\u65f6\u662f\u663e\u5f0f\uff09<\/span>\u4fe1\u606f\u8bba\u65b9\u6cd5\u3002\u6700\u540e\uff0c\u7efc\u8ff0\u5229\u7528\u53d7\u9650\u7684\u7f8e\u56fd\u4eba\u53e3\u666e\u67e5\u6570\u636e\u5f97\u51fa\u4e86\u4e00\u4e9b\u65b0\u53d1\u73b0\u3002<\/span><\/p>\n

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9. <\/strong><\/strong>\u80fd\u6e90\u6d88\u8d39\u4e2d\u7684\u4e0d\u5e73\u7b49\uff1a<\/strong><\/p>\n

\u7edf\u8ba1\u5747\u8861\u8fd8\u662f\u4f1a\u8ba1\u8bb0\u8d26\u60ef\u4f8b\u95ee\u9898\uff1f<\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Inequality in energy consumption: statistical equilibrium or a question of accounting conventions?<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900125-5<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5728\u5168\u7403\u5c42\u9762\u4e86\u89e3\u80fd\u6e90\u6d88\u8d39\u7684\u4e0d\u5e73\u7b49\uff0c\u53ef\u4ee5\u4e3a\u51cf\u7f13\u6c14\u5019\u53d8\u5316\u7684\u7b56\u7565\u63d0\u4f9b\u5173\u952e\u89c1\u89e3\u3002\u8fd1\u671f\u7684\u7814\u7a76\u900f\u8fc7\u6700\u5927\u71b5\u89c6\u89d2\u7814\u7a76\u4e86\u80fd\u6e90\u6d88\u8d39\u4e0d\u5e73\u7b49\u3002\u4ed6\u4eec\u58f0\u79f0\uff0c\u56fd\u9645\u4e0a\u521d\u7ea7\u80fd\u6e90\u603b\u9700\u6c42\u7684\u52a0\u6743\u5206\u5e03\u5e94\u8be5\u4ee5\u6307\u6570\u5206\u5e03\u7684\u5f62\u5f0f\u63a5\u8fd1\u73bb\u5c14\u5179\u66fc-\u5409\u5e03\u65af\u6700\u5927\u71b5\u5747\u8861\u5206\u5e03\u3002\u8fd9\u610f\u5473\u7740\u57fa\u5c3c\u7cfb\u6570\u4f1a\u964d\u4f4e\u6536\u655b\u5230 0.5\u3002<\/span><\/p>\n


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10. <\/strong><\/strong>\u6700\u5927\u71b5\u65b9\u6cd5<\/strong><\/p>\n

\u4f5c\u4e3a\u5e02\u573a\u6ce2\u52a8\u5efa\u6a21\u7684\u4e00\u4e2a\u6709\u6f5c\u529b\u7684\u66ff\u4ee3<\/strong><\/p>\n<\/section>\n

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Maximum entropy approach to market fluctuations as a promising alternative<\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/p>\n

https:\/\/link.springer.com\/article\/10.1140\/epjst\/e2020-900124-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u7814\u7a76\u5e02\u573a\u6ce2\u52a8\u7684\u4f20\u7edf\u6a21\u578b\u5f80\u5f80\u88ab\u6307\u8d23\u5bf9\u9ad8\u5ea6\u590d\u6742\u7684\u7ecf\u6d4e\u7cfb\u7edf\u505a\u4e86\u8fc7\u5ea6\u7b80\u5316\u7684\u5047\u8bbe\u3002\u672c\u6587\u7b80\u8981\u800c\u6279\u5224\u5730\u56de\u987e\u4e86\u201c\u4f20\u7edf\u201d\u7ecf\u6d4e\u7406\u8bba\u548c\u5efa\u6a21\u65b9\u6cd5\u3002\u8be6\u7ec6\u8ba8\u8bba\u4e86\u5404\u79cd\u5e02\u573a\u6ce2\u52a8\u6a21\u578b\u7684\u5efa\u6a21\u65b9\u6cd5\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u6bd4\u4f20\u7edf\u6a21\u578b\u5f15\u5165\u4e86\u66f4\u4e3a\u73b0\u5b9e\u7684\u6846\u67b6\uff0c\u5373\u5bf9\u6570\u5468\u671f\u5e42\u5f8b\u6a21\u578b<\/span>\uff08Log Periodic Power Law Models\uff09<\/span>\u3001\u5f02\u8d28\u4e3b\u4f53\u6a21\u578b<\/span>\uff08Heterogenous Agent Models\uff0c\u5305\u62ec\u7b80\u5355\u5f02\u8d28\u6a21\u578b\u548c\u57fa\u4e8e\u4e3b\u4f53\u7684\u6a21\u578b\uff09<\/span>\u548c\u4e2a\u4f53\u54cd\u5e94\u7edf\u8ba1\u5747\u8861\u6a21\u578b<\/span>\uff08Quantal Response Statistical  Equilibrium Models\uff0cQRSE\uff09<\/span>\u3002\u901a\u8fc7\u56de\u987e\uff0c\u6211\u4eec\u53ef\u4ee5\u6e05\u695a\u770b\u5230\u8fd9\u4e9b\u65b9\u6cd5\u5728\u514b\u670d\u7ecf\u6d4e\u7406\u8bba\u548c\u5927\u578b\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u4e2d\u73b0\u6709\u95ee\u9898\u7684\u80fd\u529b\u3002\u672c\u6587\u63d0\u51fa\u4e86 QRSE \u6846\u67b6\u4f5c\u4e3a\u4e00\u79cd\u201c\u4fe1\u606f\u8bba\u6700\u5927\u71b5\u65b9\u6cd5\u201d\uff0c\u5e76\u4ece\u7ecf\u6d4e\u89e3\u91ca\u548c\u610f\u4e49\u89d2\u5ea6\u7740\u91cd\u8ba8\u8bba\u4e86\u6a21\u578b\u53c2\u6570\u7684\u89e3\u91ca\u529b\u548c\u7269\u7406\u610f\u4e49\uff0c\u4ee5\u53ca\u7b80\u5355\u7684\u5efa\u6a21\u6846\u67b6\u3002<\/span><\/p>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u57282021\u5e741\u6708-6\u6708\u7ec4\u7ec7\u4e86\u590d\u6742\u7ecf\u6d4e\u5b66\u7cfb\u5217\u8bfb\u4e66\u4f1a\uff0c\u7ec4\u7ec7\u5b66\u754c\u548c\u4e1a\u754c\u7684\u670b\u53cb\u7814\u8bfb\u5206\u4eab\u786c\u6838\u8bba\u6587\uff0c\u5f62\u6210\u4e86\u8d85\u8fc7200\u4eba\u7684\u590d\u6742\u7ecf\u6d4e\u5b66\u793e\u533a\u3002\u76ee\u524d\u8bfb\u4e66\u4f1a\u7b2c\u4e00\u5b63\u8ba1\u5212\u5185\u5bb9\u5df2\u5b8c\u7ed3\uff0c\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u7ee7\u7eed\u62a5\u540d\u8bfb\u4e66\u4f1a\u3002\u62a5\u540d\u8bfb\u4e66\u4f1a\u5373\u53ef\u53c2\u4e0e\u590d\u6742\u7ecf\u6d4e\u5b66\u793e\u533a\uff0c\u5e76\u89e3\u9501\u7b2c\u4e00\u5b63\u5f55\u64ad\u6743\u9650\u3002<\/span><\/p>\n


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