{"title":"情绪对决策的影响","authors":"Aritra Ghosh, Shihong Huang","doi":"10.1109/NAECON46414.2019.9058296","DOIUrl":null,"url":null,"abstract":"Traditional software systems are rapidly learning skills that can beat human activities; humans still retain superior in the context of decision-making where emotions are involved. Human emotions are full of uncertainty and hence self-adaptive systems have yet to acquire a \"gut’s feeling\". In this paper, we have discussed the influence of human emotions to quantify uncertainty and to contribute to the software’s adaptation process.","PeriodicalId":193529,"journal":{"name":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Emotions in Shaping Decisions\",\"authors\":\"Aritra Ghosh, Shihong Huang\",\"doi\":\"10.1109/NAECON46414.2019.9058296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional software systems are rapidly learning skills that can beat human activities; humans still retain superior in the context of decision-making where emotions are involved. Human emotions are full of uncertainty and hence self-adaptive systems have yet to acquire a \\\"gut’s feeling\\\". In this paper, we have discussed the influence of human emotions to quantify uncertainty and to contribute to the software’s adaptation process.\",\"PeriodicalId\":193529,\"journal\":{\"name\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON46414.2019.9058296\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON46414.2019.9058296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traditional software systems are rapidly learning skills that can beat human activities; humans still retain superior in the context of decision-making where emotions are involved. Human emotions are full of uncertainty and hence self-adaptive systems have yet to acquire a "gut’s feeling". In this paper, we have discussed the influence of human emotions to quantify uncertainty and to contribute to the software’s adaptation process.