{"title":"用于任务成功分析的绊网激活算法和推理系统(STAAR)","authors":"P. Hershey, Michael Sica","doi":"10.1109/SYSOSE.2018.8428742","DOIUrl":null,"url":null,"abstract":"The flood of data from Multi-Intelligence sources (e.g., air and space sensors, street cameras, and social media) is overwhelming mission operators who manually or semi-autonomously ingest and make decisions on these data. This data glut is driving the development of Systems of Systems (SoS) solutions that exhibit emergent behavior evolving to fully autonomous methods that allow end users to focus on critical data first in order to make timely decisions and assure mission success.","PeriodicalId":314200,"journal":{"name":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"System of Systems for Tripwires Activation of Algorithms and Reasoning (STAAR) for Analysis of Mission Success\",\"authors\":\"P. Hershey, Michael Sica\",\"doi\":\"10.1109/SYSOSE.2018.8428742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The flood of data from Multi-Intelligence sources (e.g., air and space sensors, street cameras, and social media) is overwhelming mission operators who manually or semi-autonomously ingest and make decisions on these data. This data glut is driving the development of Systems of Systems (SoS) solutions that exhibit emergent behavior evolving to fully autonomous methods that allow end users to focus on critical data first in order to make timely decisions and assure mission success.\",\"PeriodicalId\":314200,\"journal\":{\"name\":\"2018 13th Annual Conference on System of Systems Engineering (SoSE)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 13th Annual Conference on System of Systems Engineering (SoSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYSOSE.2018.8428742\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 13th Annual Conference on System of Systems Engineering (SoSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSOSE.2018.8428742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System of Systems for Tripwires Activation of Algorithms and Reasoning (STAAR) for Analysis of Mission Success
The flood of data from Multi-Intelligence sources (e.g., air and space sensors, street cameras, and social media) is overwhelming mission operators who manually or semi-autonomously ingest and make decisions on these data. This data glut is driving the development of Systems of Systems (SoS) solutions that exhibit emergent behavior evolving to fully autonomous methods that allow end users to focus on critical data first in order to make timely decisions and assure mission success.