{"title":"案例推理和学习系统","authors":"Vandana Jindal, P. K. Jain","doi":"10.18701/imsmanthan.v12i01.10342","DOIUrl":null,"url":null,"abstract":"Case based reasoning (CBR) technology presents a foundation for a new technology of\nbuilding intelligent systems for teaching, learning and training. This Technology directly\naddresses the problems found in the traditional artificial intelligence (AI) techniques, e.g. the\nproblems of knowledge acquisition, remembering, robust and maintenance. This paper\ndiscusses the CBR methodology, the research issues and technical aspects of implementing\neffective intelligent e-learning systems. Some examples of successful applications in different domain are also given in the paper.","PeriodicalId":135569,"journal":{"name":"The Journal of Innovations","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Case-Based Reasoning and Learning Systems\",\"authors\":\"Vandana Jindal, P. K. Jain\",\"doi\":\"10.18701/imsmanthan.v12i01.10342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Case based reasoning (CBR) technology presents a foundation for a new technology of\\nbuilding intelligent systems for teaching, learning and training. This Technology directly\\naddresses the problems found in the traditional artificial intelligence (AI) techniques, e.g. the\\nproblems of knowledge acquisition, remembering, robust and maintenance. This paper\\ndiscusses the CBR methodology, the research issues and technical aspects of implementing\\neffective intelligent e-learning systems. Some examples of successful applications in different domain are also given in the paper.\",\"PeriodicalId\":135569,\"journal\":{\"name\":\"The Journal of Innovations\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Innovations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18701/imsmanthan.v12i01.10342\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18701/imsmanthan.v12i01.10342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
基于案例推理(Case based reasoning, CBR)技术为构建智能教、学、训系统提供了一种新的技术基础。该技术直接解决了传统人工智能(AI)技术中存在的问题,例如知识获取、记忆、鲁棒性和维护问题。本文讨论了基于实例推理的方法、实现高效智能电子学习系统的研究问题和技术方面的问题。文中还列举了一些在不同领域的成功应用实例。
Case based reasoning (CBR) technology presents a foundation for a new technology of
building intelligent systems for teaching, learning and training. This Technology directly
addresses the problems found in the traditional artificial intelligence (AI) techniques, e.g. the
problems of knowledge acquisition, remembering, robust and maintenance. This paper
discusses the CBR methodology, the research issues and technical aspects of implementing
effective intelligent e-learning systems. Some examples of successful applications in different domain are also given in the paper.