{"title":"XTEL 2.0: a rule based systems analysis of theater level C/sup 3/ architectures","authors":"P.D. Rizik, N. O. Welch","doi":"10.1109/MILCOM.1991.258208","DOIUrl":null,"url":null,"abstract":"The authors describe the development of an artificial intelligence (AI) model. XTEL 2.0 is an architecture solution system that recommends specific node hardening and protection, specific link protection and transition, and specific leasing with allied host nation systems. Where users enter desired architecture preferences, XTEL 2.0 generates feasible transition states for network components using a rule base, and expresses them as variables in mathematical equations that represent preference boundaries and architecture constraints. Because these mathematics equations are simple linear equations, they are solved using a linear programming framework so that a quick architecture resource allocation can be performed.<<ETX>>","PeriodicalId":212388,"journal":{"name":"MILCOM 91 - Conference record","volume":"54 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 91 - Conference record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1991.258208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The authors describe the development of an artificial intelligence (AI) model. XTEL 2.0 is an architecture solution system that recommends specific node hardening and protection, specific link protection and transition, and specific leasing with allied host nation systems. Where users enter desired architecture preferences, XTEL 2.0 generates feasible transition states for network components using a rule base, and expresses them as variables in mathematical equations that represent preference boundaries and architecture constraints. Because these mathematics equations are simple linear equations, they are solved using a linear programming framework so that a quick architecture resource allocation can be performed.<>
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