{"title":"多任务驱动认知行为建模","authors":"Yanfei Liu, Zhaohui Wu","doi":"10.1109/IS.2006.348393","DOIUrl":null,"url":null,"abstract":"In order to process multitasking driver behavior effectively, an improved driver cognitive behavior modeling method of ACT-R is proposed in this paper. The manual module and visual module of ACT-R are concatenated directly to cope with human subconscious/unconscious behavior. A parallel processing method is proposed to mimic the parallel reactions style of a given cerebral area of human brain's reaction to the physical characteristics of the stimulus. Drive behavior assorting and risk level ranking method are applied to improve the model's executive efficiency. The results of the software simulation show that the improvements of the ACT-R cognitive architecture are efficient and flexible","PeriodicalId":116809,"journal":{"name":"2006 3rd International IEEE Conference Intelligent Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Multitasking Driver Cognitive Behavior Modeling\",\"authors\":\"Yanfei Liu, Zhaohui Wu\",\"doi\":\"10.1109/IS.2006.348393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to process multitasking driver behavior effectively, an improved driver cognitive behavior modeling method of ACT-R is proposed in this paper. The manual module and visual module of ACT-R are concatenated directly to cope with human subconscious/unconscious behavior. A parallel processing method is proposed to mimic the parallel reactions style of a given cerebral area of human brain's reaction to the physical characteristics of the stimulus. Drive behavior assorting and risk level ranking method are applied to improve the model's executive efficiency. The results of the software simulation show that the improvements of the ACT-R cognitive architecture are efficient and flexible\",\"PeriodicalId\":116809,\"journal\":{\"name\":\"2006 3rd International IEEE Conference Intelligent Systems\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 3rd International IEEE Conference Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IS.2006.348393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 3rd International IEEE Conference Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS.2006.348393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In order to process multitasking driver behavior effectively, an improved driver cognitive behavior modeling method of ACT-R is proposed in this paper. The manual module and visual module of ACT-R are concatenated directly to cope with human subconscious/unconscious behavior. A parallel processing method is proposed to mimic the parallel reactions style of a given cerebral area of human brain's reaction to the physical characteristics of the stimulus. Drive behavior assorting and risk level ranking method are applied to improve the model's executive efficiency. The results of the software simulation show that the improvements of the ACT-R cognitive architecture are efficient and flexible
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