Article(id=1242139973483311734, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139956957753880, articleNumber=null, orderNo=11, doi=10.3981/j.issn.1000-7857.2022.14.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1654617600000, receivedDateStr=2022-06-08, revisedDate=1658246400000, revisedDateStr=2022-07-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1662117982617, onlineDateStr=2022-09-02, pubDate=1658937600000, pubDateStr=2022-07-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1662117982617, onlineIssueDateStr=2022-09-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078847519, creator=sys-migrate, updateTime=1774078847519, updator=sys-migrate, issue=Issue{id=1242139956957753880, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='14', pageStart='0', pageEnd='112', issueExtLink='null', onlineDate='null', pubDate='1658937600000', pubDateStr='2022-07-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078843579, creator='sys-migrate', updateTime=1774078843579, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=80, endPage=91, ext={EN=ArticleExt(id=1242139977702777085, articleId=1242139973483311734, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=An age assessment model for maturity of city brain development maturity, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=This paper suggests that the city brain is the product of the evolution of the Internet from a mesh to a brain-like architecture since the 21st century and it is combined with the construction of smart cities. Through a comparison with the developmental process of the biological brains, an age assessment model of the maturity of the city brain development is established。 With the evaluation model, the various age groups are first identified through the unified planning scope of the urban brain. The District and the County correspond to 0-5 years old (children level), the City corresponds to 6-11 years old (children level), and the Province corresponds to 12-17 years old (juvenile level） , the Country corresponds to 18-23 year old (youth level), and the world corresponds to 24-29 years old (adult level).Then with the evaluation model, the construction quality is evaluated from six aspects: the problem solving, the digital neuron, the cloud reflex arc, the cost performance, the safety, and the integrity. After the evaluation value is converted into an age increment, it is added to the minimum value of the age group to form the developmental age of the city brain., authors=LIU Feng^1,2,3, LIU Ying⁴, authorsList=LIU Feng, LIU Ying, authorCompany=1. Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing 100190, China;
2. Techxcope Digital Brain Institute, Beijing 100080, China;
3. Tianfu Institute of International Big Data Strategy and Technology, Chengdu 610218, China;
4. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=DSVFQoiS8QoGMJ/fnd9GFw==, pdfFileSize=5035693, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139976503206132, articleId=1242139973483311734, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=城市大脑发展成熟度的年龄评估模型, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=城市大脑是21世纪以来互联网从网状向类脑架构演化并与智慧城市建设结合的产物。通过对比生物脑的发育过程，建立了城市大脑发展成熟度的年龄评估模型。评估模型通过城市大脑的统一规划范围确定年龄段，按照乡镇/区县对应0~5岁（幼童级）、城市对应6~11岁（儿童级）、省级对应12~17岁（少年级）、国家对应18~23岁（青年级）、世界对应成年24~29岁（成人级）进行划分；从问题解决、数字神经元、云反射弧、性价比、安全性、整体性6个方面对建设质量进行评估；评估值换算成年龄增量后，与所处年龄段的最小值相加，从而形成城市大脑的发育年龄。, authors=刘锋^1,2,3, 刘颖⁴, authorsList=刘锋, 刘颖, authorCompany=1. 中国科学院虚拟经济与数据科学研究中心, 北京 100190;
2. 远望智库数字大脑研究院, 北京 100080;
3. 天府大数据研究院, 成都 610218;
4. 中国科学院大学经济与管理学院, 北京 100190, correspAuthors=null, authorNote=刘锋,教授,研究方向为人工智能、互联网、智慧城市,电子信箱:zkyliufeng@126.com;, correspAuthorsNote=刘颖(通信作者),副教授,研究方向为网络经济,大数据、人工智能,电子信箱:liuy@ucas.ac.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=bU/oSMhBgOxXARent5f3sw==, pdfFileSize=5035693, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=国家自然科学基金项目(91546201,71932008,71871210))}, authors=null, keywords=[Keyword(id=1242139976092164329, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139973483311734, language=CN, orderNo=1, keyword=城市大脑), Keyword(id=1242139976171856109, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139973483311734, language=CN, orderNo=1, keyword=智慧城市), 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