泛在计算环境中的智能代理:智能家居UT-AGENT

N. Kushwaha, Minkoo Kim, Dong Yoon Kim, W. Cho
{"title":"泛在计算环境中的智能代理:智能家居UT-AGENT","authors":"N. Kushwaha, Minkoo Kim, Dong Yoon Kim, W. Cho","doi":"10.1109/WSTFEUS.2004.10034","DOIUrl":null,"url":null,"abstract":"We propose an intelligent agent model for smart home environments. In ubiquitous computing environments like smart home, agents have to learn user's preferences in order to assist them. These preferences are represented by user profiles. Our proposed UT-AGENT uses case-based reasoning (CBR) to acquire knowledge about user actions that are worth recording to determine their preferences and Bayesian network (BN) as an inference tool to model relationships between them. UT-AGENT maintains the status of every device present in the home and activates them as per user preference. It generates a sequence of expected user's query and simultaneously activates the devices with preset preference settings.","PeriodicalId":170872,"journal":{"name":"Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, 2004. Proceedings.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"An intelligent agent for ubiquitous computing environments: smart home UT-AGENT\",\"authors\":\"N. Kushwaha, Minkoo Kim, Dong Yoon Kim, W. Cho\",\"doi\":\"10.1109/WSTFEUS.2004.10034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an intelligent agent model for smart home environments. In ubiquitous computing environments like smart home, agents have to learn user's preferences in order to assist them. These preferences are represented by user profiles. Our proposed UT-AGENT uses case-based reasoning (CBR) to acquire knowledge about user actions that are worth recording to determine their preferences and Bayesian network (BN) as an inference tool to model relationships between them. UT-AGENT maintains the status of every device present in the home and activates them as per user preference. It generates a sequence of expected user's query and simultaneously activates the devices with preset preference settings.\",\"PeriodicalId\":170872,\"journal\":{\"name\":\"Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, 2004. Proceedings.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSTFEUS.2004.10034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSTFEUS.2004.10034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39

摘要

提出了一种智能家居环境的智能代理模型。在智能家居等无处不在的计算环境中,代理必须了解用户的偏好才能帮助他们。这些首选项由用户配置文件表示。我们提出的UT-AGENT使用基于案例的推理(CBR)来获取关于值得记录的用户行为的知识,以确定他们的偏好,并使用贝叶斯网络(BN)作为推理工具来建模它们之间的关系。UT-AGENT维护家中存在的每个设备的状态,并根据用户的偏好激活它们。它生成一系列预期的用户查询,并同时使用预设的首选项设置激活设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An intelligent agent for ubiquitous computing environments: smart home UT-AGENT
We propose an intelligent agent model for smart home environments. In ubiquitous computing environments like smart home, agents have to learn user's preferences in order to assist them. These preferences are represented by user profiles. Our proposed UT-AGENT uses case-based reasoning (CBR) to acquire knowledge about user actions that are worth recording to determine their preferences and Bayesian network (BN) as an inference tool to model relationships between them. UT-AGENT maintains the status of every device present in the home and activates them as per user preference. It generates a sequence of expected user's query and simultaneously activates the devices with preset preference settings.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信