{"id":475947,"date":"2023-08-09T07:24:43","date_gmt":"2023-08-09T07:24:43","guid":{"rendered":""},"modified":"2023-09-05T11:11:40","modified_gmt":"2023-09-05T11:11:40","slug":"automated-reasoning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/cn\/wiki\/automated-reasoning\/","title":{"rendered":"\u81ea\u52a8\u63a8\u7406"},"content":{"rendered":"<p>\u81ea\u52a8\u63a8\u7406\u662f\u4eba\u5de5\u667a\u80fd (AI) \u548c\u8ba1\u7b97\u673a\u79d1\u5b66\u7684\u4e00\u4e2a\u5e7f\u6cdb\u9886\u57df\uff0c\u5b83\u4f7f\u7528\u903b\u8f91\u548c\u542f\u53d1\u5f0f\u65b9\u6cd5\u6765\u89e3\u51b3\u95ee\u9898\u3001\u8bc1\u660e\u5b9a\u7406\u4ee5\u53ca\u505a\u51fa\u63a8\u8bba\u6216\u9884\u6d4b\u3002\u8be5\u6280\u672f\u4ece\u6839\u672c\u4e0a\u6d89\u53ca\u6784\u5efa\u80fd\u591f\u81ea\u52a8\u4ece\u4e00\u7ec4\u524d\u63d0\u4e2d\u5f97\u51fa\u7ed3\u8bba\u7684\u7cfb\u7edf\uff0c\u4f7f\u5176\u6210\u4e3a\u5f53\u4eca\u4f17\u591a\u6280\u672f\u521b\u65b0\u4e0d\u53ef\u6216\u7f3a\u7684\u4e00\u90e8\u5206\u3002<\/p>\n<h2>\u81ea\u52a8\u63a8\u7406\u7684\u5386\u53f2\u548c\u8d77\u6e90<\/h2>\n<p>\u81ea\u52a8\u63a8\u7406\u6df1\u6df1\u690d\u6839\u4e8e\u903b\u8f91\u548c\u8ba1\u7b97\u7684\u5386\u53f2\u3002\u5df2\u77e5\u7684\u7b2c\u4e00\u4e2a\u63a8\u7406\u5f15\u64ce\u662f\u4f5c\u4e3a\u903b\u8f91\u7406\u8bba\u5bb6\u7684\u4e00\u90e8\u5206\u6784\u5efa\u7684\uff0c\u8be5\u7a0b\u5e8f\u7531\u827e\u4f26\u00b7\u7ebd\u5384\u5c14\u3001\u514b\u5229\u592b\u00b7\u8096\u548c\u8d6b\u4f2f\u7279\u00b7\u897f\u8499\u4e8e 1955 \u5e74\u8bbe\u8ba1\u3002\u8be5\u7a0b\u5e8f\u80fd\u591f\u8bc1\u660e\u300a\u6570\u5b66\u539f\u7406\u300b\u4e2d\u7684\u5b9a\u7406\uff0c\u4ece\u800c\u6709\u6548\u5730\u5f00\u542f\u4e86\u81ea\u52a8\u63a8\u7406\u65f6\u4ee3\u3002<\/p>\n<p>1958 \u5e74\uff0c\u7ea6\u7ff0\u00b7\u9ea6\u5361\u9521 (John McCarthy) \u63a8\u51fa\u4e86 Lisp\uff0c\u8fd9\u662f\u7b2c\u4e00\u79cd\u5c06\u81ea\u52a8\u63a8\u7406\u878d\u5165\u5176\u6838\u5fc3\u7684\u7f16\u7a0b\u8bed\u8a00\u3002\u968f\u540e\uff0c\u5728 20 \u4e16\u7eaa 60 \u5e74\u4ee3\u548c 70 \u5e74\u4ee3\uff0c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u8fdb\u4e00\u6b65\u5b8c\u5584\u4e86\u8fd9\u4e00\u6982\u5ff5\uff0c\u6700\u7ec8\u5728 1972 \u5e74\u5f00\u53d1\u51fa\u4e86\u7b2c\u4e00\u79cd Prolog \u7f16\u7a0b\u8bed\u8a00\uff0c\u8fd9\u662f\u4e00\u79cd\u4ee5\u81ea\u52a8\u63a8\u7406\u4e3a\u4e2d\u5fc3\u7684\u8bed\u8a00\u3002<\/p>\n<h2>\u81ea\u52a8\u63a8\u7406\u7684\u8be6\u7ec6\u6982\u8ff0<\/h2>\n<p>\u81ea\u52a8\u63a8\u7406\u7cfb\u7edf\u7684\u6838\u5fc3\u662f\u5b9e\u73b0\u57fa\u4e8e\u903b\u8f91\u7684\u7b97\u6cd5\u548c\u542f\u53d1\u5f0f\u65b9\u6cd5\uff0c\u4ece\u7ed9\u5b9a\u7684\u4e00\u7ec4\u4e8b\u5b9e\u548c\u89c4\u5219\u4e2d\u63a8\u65ad\u51fa\u65b0\u77e5\u8bc6\u3002\u5b83\u4eec\u64c5\u957f\u6267\u884c\u903b\u8f91\u63a8\u7406\u3001\u5b9a\u7406\u8bc1\u660e\u548c\u89e3\u51b3\u95ee\u9898\u7684\u4efb\u52a1\u3002<\/p>\n<p>\u81ea\u52a8\u63a8\u7406\u5206\u4e3a\u4e24\u79cd\u7c7b\u578b\uff1a<\/p>\n<ol>\n<li>\n<p>\u6f14\u7ece\u63a8\u7406\uff1a\u5b83\u6d89\u53ca\u4ece\u7ed9\u5b9a\u7684\u524d\u63d0\u4e2d\u903b\u8f91\u5730\u5f97\u51fa\u67d0\u4e9b\u7ed3\u8bba\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6240\u6709\u82f9\u679c\u90fd\u662f\u6c34\u679c\uff0c\u800c Granny Smith \u662f\u82f9\u679c\uff0c\u5219\u4f7f\u7528\u6f14\u7ece\u63a8\u7406\u7684\u7cfb\u7edf\u4f1a\u5f97\u51fa Granny Smith \u662f\u6c34\u679c\u7684\u7ed3\u8bba\u3002<\/p>\n<\/li>\n<li>\n<p>\u5f52\u7eb3\u63a8\u7406\uff1a\u5b83\u6d89\u53ca\u6839\u636e\u89c2\u5bdf\u5230\u7684\u5b9e\u4f8b\u5f62\u6210\u4e00\u822c\u89c4\u5219\u3002\u4f8b\u5982\uff0c\u5728\u770b\u5230\u4e00\u767e\u53ea\u767d\u8272\u7684\u5929\u9e45\u5b9e\u4f8b\u540e\uff0c\u4f7f\u7528\u5f52\u7eb3\u63a8\u7406\u7684\u7cfb\u7edf\u4f1a\u63a8\u65ad\u51fa\u6240\u6709\u5929\u9e45\u90fd\u662f\u767d\u8272\u7684\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u81ea\u52a8\u63a8\u7406\u7684\u5185\u90e8\u7ed3\u6784\u548c\u5de5\u4f5c\u539f\u7406<\/h2>\n<p>\u81ea\u52a8\u63a8\u7406\u7cfb\u7edf\u7531\u51e0\u4e2a\u5173\u952e\u90e8\u5206\u7ec4\u6210\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u77e5\u8bc6\u5e93<\/strong>\uff1a\u8fd9\u5b58\u50a8\u4e86\u7cfb\u7edf\u7528\u6765\u5f97\u51fa\u7ed3\u8bba\u7684\u89c4\u5219\u548c\u4e8b\u5b9e\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u63a8\u7406\u673a<\/strong>\uff1a\u8fd9\u5c06\u903b\u8f91\u89c4\u5219\u5e94\u7528\u4e8e\u77e5\u8bc6\u5e93\u4e2d\u7684\u6570\u636e\u6765\u63a8\u65ad\u65b0\u4fe1\u606f\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7528\u6237\u754c\u9762<\/strong>\uff1a\u8fd9\u53ef\u4ee5\u5b9e\u73b0\u4e0e\u7cfb\u7edf\u7684\u4ea4\u4e92\uff0c\u5141\u8bb8\u7528\u6237\u8f93\u5165\u65b0\u6570\u636e\u5e76\u67e5\u770b\u7cfb\u7edf\u7684\u7ed3\u8bba\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u8be5\u7cfb\u7edf\u7684\u5de5\u4f5c\u539f\u7406\u662f\uff0c\u9996\u5148\u8f93\u5165\u4e00\u4e2a\u95ee\u9898\uff0c\u5e76\u7528\u5f62\u5f0f\u8bed\u8a00\u8868\u793a\u51fa\u6765\u3002\u7136\u540e\uff0c\u5b83\u641c\u7d22\u77e5\u8bc6\u5e93\uff0c\u4f7f\u7528\u63a8\u7406\u5f15\u64ce\u5e94\u7528\u903b\u8f91\u89c4\u5219\u5e76\u63a8\u65ad\u51fa\u65b0\u4fe1\u606f\u3002\u8f93\u51fa\u901a\u5e38\u662f\u8f93\u5165\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\u6216\u57fa\u4e8e\u8f93\u5165\u6570\u636e\u7684\u4e00\u7ec4\u7ed3\u8bba\u3002<\/p>\n<h2>\u81ea\u52a8\u63a8\u7406\u7684\u4e3b\u8981\u7279\u70b9<\/h2>\n<p>\u81ea\u52a8\u63a8\u7406\u6709\u51e0\u4e2a\u72ec\u7279\u7684\u7279\u70b9\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u5f62\u5f0f\u903b\u8f91<\/strong>\uff1a\u5b83\u4f7f\u7528\u5f62\u5f0f\u8bed\u8a00\u548c\u903b\u8f91\u6765\u8868\u793a\u548c\u63a8\u7406\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u81ea\u52a8\u63a8\u7406<\/strong>\uff1a\u5b83\u80fd\u591f\u5728\u65e0\u9700\u4eba\u5de5\u5e72\u9884\u7684\u60c5\u51b5\u4e0b\u5f97\u51fa\u7ed3\u8bba\u6216\u89e3\u51b3\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u666e\u904d\u6027<\/strong>\uff1a\u540c\u4e00\u7cfb\u7edf\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u89c4\u5219\u548c\u4e8b\u5b9e\u6761\u4ef6\u4e0b\u89e3\u51b3\u5404\u79cd\u95ee\u9898\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4e00\u81f4\u6027<\/strong>\uff1a\u5b83\u5728\u63a8\u7406\u4e2d\u4fdd\u6301\u4e00\u81f4\u6027\uff0c\u9632\u6b62\u77e5\u8bc6\u5e93\u4e2d\u51fa\u73b0\u77db\u76fe\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u81ea\u52a8\u63a8\u7406\u7684\u7c7b\u578b<\/h2>\n<p>\u81ea\u52a8\u63a8\u7406\u7cfb\u7edf\u53ef\u4ee5\u6839\u636e\u5176\u63a8\u7406\u98ce\u683c\u548c\u6240\u89e3\u51b3\u7684\u95ee\u9898\u7c7b\u578b\u8fdb\u884c\u5206\u7c7b\u3002\u4e0b\u9762\u662f\u603b\u7ed3\u4e00\u4e9b\u7c7b\u578b\u7684\u7b80\u8981\u8868\u683c\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: center;\">\u7c7b\u578b<\/th>\n<th style=\"text-align: center;\">\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\">\u6f14\u7ece\u63a8\u7406\u7cfb\u7edf<\/td>\n<td style=\"text-align: center;\">\u4ed6\u4eec\u8fd0\u7528\u903b\u8f91\u63a8\u7406\u4ece\u7ed9\u5b9a\u7684\u4e00\u7ec4\u524d\u63d0\u4e2d\u5f97\u51fa\u67d0\u4e9b\u7ed3\u8bba\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u5f52\u7eb3\u63a8\u7406\u7cfb\u7edf<\/td>\n<td style=\"text-align: center;\">\u5b83\u4eec\u6839\u636e\u89c2\u5bdf\u5230\u7684\u5177\u4f53\u5b9e\u4f8b\u5f62\u6210\u4e00\u822c\u89c4\u5219\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u6eaf\u56e0\u63a8\u7406\u7cfb\u7edf<\/td>\n<td style=\"text-align: center;\">\u4ed6\u4eec\u6839\u636e\u73b0\u6709\u8bc1\u636e\u505a\u51fa\u6709\u6839\u636e\u7684\u731c\u6d4b\u6216\u5047\u8bbe\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u7ea6\u675f\u6c42\u89e3<\/td>\n<td style=\"text-align: center;\">\u4ed6\u4eec\u627e\u5230\u4e86\u6ee1\u8db3\u4e00\u7ec4\u7ea6\u675f\u6761\u4ef6\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u6a21\u578b\u68c0\u67e5<\/td>\n<td style=\"text-align: center;\">\u4ed6\u4eec\u9a8c\u8bc1\u7cfb\u7edf\u6a21\u578b\u662f\u5426\u6ee1\u8db3\u4e00\u7ec4\u6307\u5b9a\u7684\u8981\u6c42\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u81ea\u52a8\u63a8\u7406\u7684\u7528\u4f8b\u548c\u6311\u6218<\/h2>\n<p>\u81ea\u52a8\u63a8\u7406\u6709\u591a\u79cd\u5e94\u7528\uff0c\u5305\u62ec\uff1a<\/p>\n<ol>\n<li>\n<p><strong>\u81ea\u52a8\u5b9a\u7406\u8bc1\u660e<\/strong>\uff1a\u5728\u6570\u5b66\u4e2d\uff0c\u5b83\u53ef\u7528\u4e8e\u81ea\u52a8\u8bc1\u660e\u5b9a\u7406\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7f16\u7a0b\u8bed\u8a00\u8bed\u4e49<\/strong>\uff1a\u5b83\u53ef\u4ee5\u901a\u8fc7\u68c0\u67e5\u7a0b\u5e8f\u7684\u8bed\u4e49\u6765\u5e2e\u52a9\u786e\u4fdd\u7a0b\u5e8f\u6309\u7167\u9884\u671f\u8fd0\u884c\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5f62\u5f0f\u5316\u9a8c\u8bc1<\/strong>\uff1a\u53ef\u4ee5\u7528\u6765\u9a8c\u8bc1\u786c\u4ef6\u548c\u8f6f\u4ef6\u8bbe\u8ba1\u7684\u6b63\u786e\u6027\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60<\/strong>\uff1a\u81ea\u52a8\u63a8\u7406\u662f\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u4e0d\u53ef\u6216\u7f3a\u7684\u4e00\u90e8\u5206\uff0c\u7279\u522b\u662f\u5728\u51b3\u7b56\u8fc7\u7a0b\u4e2d\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u7136\u800c\uff0c\u81ea\u52a8\u63a8\u7406\u5e76\u975e\u6ca1\u6709\u6311\u6218\u3002\u8fd9\u4e9b\u6311\u6218\u5305\u62ec\u5c06\u73b0\u5b9e\u4e16\u754c\u7684\u95ee\u9898\u7f16\u7801\u6210\u5f62\u5f0f\u8bed\u8a00\u7684\u96be\u5ea6\u4ee5\u53ca\u903b\u8f91\u63a8\u7406\u7684\u8ba1\u7b97\u5f3a\u5ea6\u3002\u542f\u53d1\u5f0f\u641c\u7d22\u548c\u7ea6\u675f\u6ee1\u8db3\u7b49\u6280\u672f\u53ef\u7528\u4e8e\u7f13\u89e3\u8fd9\u4e9b\u6311\u6218\u3002<\/p>\n<h2>\u4e0e\u7c7b\u4f3c\u672f\u8bed\u7684\u6bd4\u8f83<\/h2>\n<table>\n<thead>\n<tr>\n<th style=\"text-align: center;\">\u5b66\u671f<\/th>\n<th style=\"text-align: center;\">\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\">\u81ea\u52a8\u63a8\u7406<\/td>\n<td style=\"text-align: center;\">\u4f7f\u7528\u903b\u8f91\u548c\u542f\u53d1\u5f0f\u65b9\u6cd5\u81ea\u52a8\u89e3\u51b3\u95ee\u9898\u7684\u4eba\u5de5\u667a\u80fd\u5b50\u9886\u57df\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u673a\u5668\u5b66\u4e60<\/td>\n<td style=\"text-align: center;\">\u4eba\u5de5\u667a\u80fd\u5b50\u9886\u57df\u4f7f\u7528\u7edf\u8ba1\u65b9\u6cd5\u4f7f\u673a\u5668\u80fd\u591f\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\">\u4e13\u5bb6\u7cfb\u7edf<\/td>\n<td style=\"text-align: center;\">\u6a21\u4eff\u4eba\u7c7b\u4e13\u5bb6\u51b3\u7b56\u80fd\u529b\u7684\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u3002\u5b83\u4eec\u4e25\u91cd\u4f9d\u8d56\u81ea\u52a8\u63a8\u7406\u3002<\/td>\n<\/tr>\n<tr>\n<td 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href=\"https:\/\/plato.stanford.edu\/entries\/reasoning-automated\/\" target=\"_new\" rel=\"noopener nofollow\">\u65af\u5766\u798f\u54f2\u5b66\u767e\u79d1\u5168\u4e66 \u2013 \u81ea\u52a8\u63a8\u7406<\/a><\/li>\n<li><a href=\"http:\/\/aar.inf.ethz.ch\/\" target=\"_new\" rel=\"noopener nofollow\">\u81ea\u52a8\u63a8\u7406\u534f\u4f1a<\/a><\/li>\n<li><a href=\"https:\/\/ocw.mit.edu\/courses\/electrical-engineering-and-computer-science\/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002\/lecture-notes\/Lecture20FinalProjects.pdf\" target=\"_new\" rel=\"noopener nofollow\">MIT \u5f00\u653e\u5f0f\u8bfe\u7a0b\u2014\u2014\u81ea\u52a8\u63a8\u7406<\/a><\/li>\n<\/ul>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475947","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Automated Reasoning: Harnessing Logic for Efficient Computing<\/mark>","faq_items":[{"question":"What is Automated Reasoning?","answer":"<p>Automated reasoning is an area in artificial intelligence and computer science that uses logic and heuristics to solve problems, prove theorems, and make deductions or predictions. The technique fundamentally involves building systems capable of deriving conclusions from a set of premises automatically.<\/p>"},{"question":"Who were the pioneers in the field of Automated Reasoning?","answer":"<p>The first known inference engine was built as part of the Logic Theorist, a program designed by Allen Newell, Cliff Shaw, and Herbert Simon in 1955. John McCarthy also played a significant role with the introduction of Lisp in 1958, which incorporated automated reasoning.<\/p>"},{"question":"What are the key components of an Automated Reasoning system?","answer":"<p>Automated reasoning systems are typically composed of a Knowledge Base that stores the rules and facts, an Inference Engine that applies logical rules to the data in the knowledge base, and a User Interface that allows users to interact with the system.<\/p>"},{"question":"What are the key features of Automated Reasoning?","answer":"<p>Key features of automated reasoning include the use of formal logic for problem representation and deduction, capability of deriving conclusions or solving problems without human intervention, generalizability to solve different problems, and maintaining consistency in its reasoning.<\/p>"},{"question":"What are some types of Automated Reasoning systems?","answer":"<p>Automated reasoning systems can be categorized into deductive reasoning systems, inductive reasoning systems, abductive reasoning systems, constraint solving, and model checking.<\/p>"},{"question":"What are the applications of Automated Reasoning?","answer":"<p>Automated reasoning is used in automated theorem proving, programming language semantics, formal verification, and in various AI and machine learning processes.<\/p>"},{"question":"What challenges does Automated Reasoning face?","answer":"<p>Challenges in automated reasoning include the difficulty of encoding real-world problems into a formal language and the computational intensity of logical inference.<\/p>"},{"question":"How are proxy servers associated with Automated Reasoning?","answer":"<p>Automated reasoning can be employed in the dynamic selection of proxies, where the system could use logical inference to select the most efficient proxy based on factors like speed, location, and reliability. Automated reasoning can also be utilized in the cybersecurity aspects of proxy servers, detecting anomalies and potential threats.<\/p>"},{"question":"What are some future perspectives related to Automated Reasoning?","answer":"<p>Future advancements in AI and computing power have propelled the development of more sophisticated automated reasoning systems. Techniques like deep learning are being integrated with automated reasoning. Additionally, quantum computing could revolutionize automated reasoning by significantly increasing the speed of logical inference.<\/p>"},{"question":"Where can I find more information on Automated Reasoning?","answer":"<p>You can find more information on Automated Reasoning on the <a href=\"https:\/\/plato.stanford.edu\/entries\/reasoning-automated\/\" target=\"_new\">Stanford Encyclopedia of Philosophy<\/a>, the <a href=\"http:\/\/aar.inf.ethz.ch\/\" target=\"_new\">Association of Automated Reasoning<\/a>, and <a href=\"https:\/\/ocw.mit.edu\/courses\/electrical-engineering-and-computer-science\/6-825-techniques-in-artificial-intelligence-sma-5504-fall-2002\/lecture-notes\/Lecture20FinalProjects.pdf\" target=\"_new\">MIT OpenCourseWare<\/a>.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/475947","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/wiki\/475947\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/cn\/wp-json\/wp\/v2\/media?parent=475947"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}