{"title":"空对空作战建模的结果排序方法","authors":"A. Cowdale","doi":"10.1109/WSC.2014.7020074","DOIUrl":null,"url":null,"abstract":"Computer simulation models have been used for many years to assess the overall effectiveness of a military campaign. At the campaign level, engagements (such as air-to-air combat) will invariably be represented at relatively high levels of aggregation. This paper explores the potential for using a ranked outcome approach (rather than a traditional probabilistic approach) to provide an alternative representation of engagements within an air combat simulation.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ranked outcome approach to air-to-air combat modelling\",\"authors\":\"A. Cowdale\",\"doi\":\"10.1109/WSC.2014.7020074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer simulation models have been used for many years to assess the overall effectiveness of a military campaign. At the campaign level, engagements (such as air-to-air combat) will invariably be represented at relatively high levels of aggregation. This paper explores the potential for using a ranked outcome approach (rather than a traditional probabilistic approach) to provide an alternative representation of engagements within an air combat simulation.\",\"PeriodicalId\":446873,\"journal\":{\"name\":\"Proceedings of the Winter Simulation Conference 2014\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Winter Simulation Conference 2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSC.2014.7020074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Winter Simulation Conference 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSC.2014.7020074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ranked outcome approach to air-to-air combat modelling
Computer simulation models have been used for many years to assess the overall effectiveness of a military campaign. At the campaign level, engagements (such as air-to-air combat) will invariably be represented at relatively high levels of aggregation. This paper explores the potential for using a ranked outcome approach (rather than a traditional probabilistic approach) to provide an alternative representation of engagements within an air combat simulation.