{"title":"Cognitive/AI peacekeeping decision support models","authors":"Daniel J. Olsher","doi":"10.1109/GHTC.2013.6713667","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence can contribute to the practice of peace. By helping us clarify and simulate others' cultures and worldviews during peacekeeping missions, INTELNET/COGVIEW AI can help commanders and planners make emotionally-, psychologically- and culturally-aware decisions (with sensitivity to Rules of Engagement) appropriate for the environments they operate in. Drawing on nuanced culture and local conflict resolution models, proposed courses of action may be simulated, assisting intervenors in making highly legitimate, perceptive decisions that maximize mission success. A large commonsense knowledge base (INTELNET//SCS), natural language user interface, and easy-to-build cultural models are employed to reduce user effort and make the system as self-contained as possible.","PeriodicalId":168082,"journal":{"name":"2013 IEEE Global Humanitarian Technology Conference (GHTC)","volume":"65 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Global Humanitarian Technology Conference (GHTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GHTC.2013.6713667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Artificial Intelligence can contribute to the practice of peace. By helping us clarify and simulate others' cultures and worldviews during peacekeeping missions, INTELNET/COGVIEW AI can help commanders and planners make emotionally-, psychologically- and culturally-aware decisions (with sensitivity to Rules of Engagement) appropriate for the environments they operate in. Drawing on nuanced culture and local conflict resolution models, proposed courses of action may be simulated, assisting intervenors in making highly legitimate, perceptive decisions that maximize mission success. A large commonsense knowledge base (INTELNET//SCS), natural language user interface, and easy-to-build cultural models are employed to reduce user effort and make the system as self-contained as possible.
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