{"title":"考虑信息饱和环境中不确定性的认知活动广义模型","authors":"A. S. Pisarev, E. E. Kotova, I. A. Pisarev","doi":"10.1109/scm55405.2022.9794831","DOIUrl":null,"url":null,"abstract":"A generalized model of key indicators of cognitive activity in conditions of a high cognitive load of the information environment with the presence of visual and linguistic uncertainty is proposed. The model takes into account the individual parameters of the user environment related to the perception of information and decision-making. The implementation involves the use of predictive models, intelligent agents and data analysis methods in order to predict performance indicators.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generalized Model of Cognitive Activity Taking into Account Uncertainty in an Information-saturated Environment\",\"authors\":\"A. S. Pisarev, E. E. Kotova, I. A. Pisarev\",\"doi\":\"10.1109/scm55405.2022.9794831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A generalized model of key indicators of cognitive activity in conditions of a high cognitive load of the information environment with the presence of visual and linguistic uncertainty is proposed. The model takes into account the individual parameters of the user environment related to the perception of information and decision-making. The implementation involves the use of predictive models, intelligent agents and data analysis methods in order to predict performance indicators.\",\"PeriodicalId\":162457,\"journal\":{\"name\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 XXV International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scm55405.2022.9794831\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scm55405.2022.9794831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generalized Model of Cognitive Activity Taking into Account Uncertainty in an Information-saturated Environment
A generalized model of key indicators of cognitive activity in conditions of a high cognitive load of the information environment with the presence of visual and linguistic uncertainty is proposed. The model takes into account the individual parameters of the user environment related to the perception of information and decision-making. The implementation involves the use of predictive models, intelligent agents and data analysis methods in order to predict performance indicators.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
