{"title":"基于多智能体技术的大型复杂系统建模","authors":"G. Rzevski","doi":"10.1109/SNPD.2012.138","DOIUrl":null,"url":null,"abstract":"The paper outlines a method for modelling largescale commercial, social, socio-technological and engineering problems. The method is derived from twelve years of experience in designing and implementing large complex systems for real-time scheduling of taxis, air taxis, car rentals, seagoing tankers, trucks, space crafts; dynamic data mining; dynamic knowledge discovery and semantic search. The same approach has been also used for designing adaptive engineering systems and for research into social issues such as eradication of poverty.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Modelling Large Complex Systems Using Multi-agent Technology\",\"authors\":\"G. Rzevski\",\"doi\":\"10.1109/SNPD.2012.138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper outlines a method for modelling largescale commercial, social, socio-technological and engineering problems. The method is derived from twelve years of experience in designing and implementing large complex systems for real-time scheduling of taxis, air taxis, car rentals, seagoing tankers, trucks, space crafts; dynamic data mining; dynamic knowledge discovery and semantic search. The same approach has been also used for designing adaptive engineering systems and for research into social issues such as eradication of poverty.\",\"PeriodicalId\":387936,\"journal\":{\"name\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2012.138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling Large Complex Systems Using Multi-agent Technology
The paper outlines a method for modelling largescale commercial, social, socio-technological and engineering problems. The method is derived from twelve years of experience in designing and implementing large complex systems for real-time scheduling of taxis, air taxis, car rentals, seagoing tankers, trucks, space crafts; dynamic data mining; dynamic knowledge discovery and semantic search. The same approach has been also used for designing adaptive engineering systems and for research into social issues such as eradication of poverty.