{"title":"用图模型生成冲突解决的行动过程","authors":"Yuming Huang, Bingfeng Ge, Bin Zhao, Kewei Yang","doi":"10.1109/SoSE50414.2020.9130479","DOIUrl":null,"url":null,"abstract":"With the continuous emergence of military technology and equipment, the increasing complexity of combat system-of-systems (SoS) has put forward great challenges to course of action (COA) generation. How to generate COAs quickly in a constantly changing battlefield environment to help stakeholders achieve the desired battlefield situation has become the focus of operation planning. In this paper, a novel approach based on the graph model for conflict resolution (GMCR) methodology is presented to cope with COA generation under antagonistic context. More specifically, an interactive decision analysis procedure is first proposed to promote action selections at strategic level considering the possible counters of enemy. Then, the modeling and analysis of COA generation in line with GMCR specifications are formally introduced to facilitate the identification of potential outcomes among stakeholders having diverse missions and decision styles. This approach is capable of predicting the possible COAs and the likely acceptable final states. Finally, the approach proposed in this paper is verified using an illustrative example.","PeriodicalId":121664,"journal":{"name":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Course of Action Generation Using Graph Model for Conflict Resolution\",\"authors\":\"Yuming Huang, Bingfeng Ge, Bin Zhao, Kewei Yang\",\"doi\":\"10.1109/SoSE50414.2020.9130479\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous emergence of military technology and equipment, the increasing complexity of combat system-of-systems (SoS) has put forward great challenges to course of action (COA) generation. How to generate COAs quickly in a constantly changing battlefield environment to help stakeholders achieve the desired battlefield situation has become the focus of operation planning. In this paper, a novel approach based on the graph model for conflict resolution (GMCR) methodology is presented to cope with COA generation under antagonistic context. More specifically, an interactive decision analysis procedure is first proposed to promote action selections at strategic level considering the possible counters of enemy. Then, the modeling and analysis of COA generation in line with GMCR specifications are formally introduced to facilitate the identification of potential outcomes among stakeholders having diverse missions and decision styles. This approach is capable of predicting the possible COAs and the likely acceptable final states. Finally, the approach proposed in this paper is verified using an illustrative example.\",\"PeriodicalId\":121664,\"journal\":{\"name\":\"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SoSE50414.2020.9130479\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SoSE50414.2020.9130479","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Course of Action Generation Using Graph Model for Conflict Resolution
With the continuous emergence of military technology and equipment, the increasing complexity of combat system-of-systems (SoS) has put forward great challenges to course of action (COA) generation. How to generate COAs quickly in a constantly changing battlefield environment to help stakeholders achieve the desired battlefield situation has become the focus of operation planning. In this paper, a novel approach based on the graph model for conflict resolution (GMCR) methodology is presented to cope with COA generation under antagonistic context. More specifically, an interactive decision analysis procedure is first proposed to promote action selections at strategic level considering the possible counters of enemy. Then, the modeling and analysis of COA generation in line with GMCR specifications are formally introduced to facilitate the identification of potential outcomes among stakeholders having diverse missions and decision styles. This approach is capable of predicting the possible COAs and the likely acceptable final states. Finally, the approach proposed in this paper is verified using an illustrative example.