{"title":"An Analysis of Path Dependency in the Policy of IndustryUniversity Collaboration","authors":"Hyun-seok Shin, Sun Ae-kyoung","doi":"10.29318/KER.25.4.6","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"1 1","pages":"137-167"},"PeriodicalIF":2.8000,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Knowledge Engineering Review","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.29318/KER.25.4.6","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍：
The Knowledge Engineering Review is committed to the development of the field of artificial intelligence and the clarification and dissemination of its methods and concepts. KER publishes analyses - high quality surveys providing balanced but critical presentations of the primary concepts in an area; technical tutorials - detailed introductions to an area; application and country surveys, commentaries and debates; book reviews; abstracts of recent PhDs in artificial intelligence; summaries of AI-related research projects; and a popular "from the journals" section, giving the contents of current journals in theoretical and applied artificial intelligence.
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