{"title":"Probabilistic reasoning techniques for situation assessments","authors":"Catherine Howard, M. Stumptner","doi":"10.1109/ICITA.2005.219","DOIUrl":null,"url":null,"abstract":"This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks.","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper discusses the application of object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain. Object-oriented probabilistic relational models extend traditional attribute based Bayesian networks with the concepts of objects, their attributes and the relationships between them by combining a frame-based representation system with object-oriented Bayesian networks.
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