{"title":"基于模糊规则插值的人机交互行为建模","authors":"S. Kovács","doi":"10.1109/SAMI.2014.6822388","DOIUrl":null,"url":null,"abstract":"Summary form only given. Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge representation with relatively few rules. The goal of this presentation is to give a short introduction to the way as an FRI based state machine can be constructed from the guide-lines of an Ethological model for acting as an embedded behavior model in Human-Robot Interaction.","PeriodicalId":441172,"journal":{"name":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Rule Interpolation-based behavior modeling for human-robot interaction\",\"authors\":\"S. Kovács\",\"doi\":\"10.1109/SAMI.2014.6822388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge representation with relatively few rules. The goal of this presentation is to give a short introduction to the way as an FRI based state machine can be constructed from the guide-lines of an Ethological model for acting as an embedded behavior model in Human-Robot Interaction.\",\"PeriodicalId\":441172,\"journal\":{\"name\":\"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"208 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2014.6822388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2014.6822388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Rule Interpolation-based behavior modeling for human-robot interaction
Summary form only given. Fuzzy Rule Interpolation (FRI) methods are efficient structures for knowledge representation with relatively few rules. The goal of this presentation is to give a short introduction to the way as an FRI based state machine can be constructed from the guide-lines of an Ethological model for acting as an embedded behavior model in Human-Robot Interaction.