{"title":"分布式专家系统中三种可能的解综合方法","authors":"Minjie Zhang","doi":"10.1109/ICMAS.1998.699297","DOIUrl":null,"url":null,"abstract":"This paper introduces three possible approaches for synthesis of solutions in distributed expert systems (DESs) and demonstrates three different strategies which are a computational strategy, a neural network strategy, and a case-based strategy. Furthermore, these strategies are compared based on the design principles and performances. The aim of this paper is to study different approaches for designing synthesis strategies and offers guide lines for selecting a suitable method for solution synthesis in different synthesis cases.","PeriodicalId":244857,"journal":{"name":"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three possible approaches for solution synthesis in distributed expert systems\",\"authors\":\"Minjie Zhang\",\"doi\":\"10.1109/ICMAS.1998.699297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces three possible approaches for synthesis of solutions in distributed expert systems (DESs) and demonstrates three different strategies which are a computational strategy, a neural network strategy, and a case-based strategy. Furthermore, these strategies are compared based on the design principles and performances. The aim of this paper is to study different approaches for designing synthesis strategies and offers guide lines for selecting a suitable method for solution synthesis in different synthesis cases.\",\"PeriodicalId\":244857,\"journal\":{\"name\":\"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMAS.1998.699297\",\"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 International Conference on Multi Agent Systems (Cat. No.98EX160)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAS.1998.699297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three possible approaches for solution synthesis in distributed expert systems
This paper introduces three possible approaches for synthesis of solutions in distributed expert systems (DESs) and demonstrates three different strategies which are a computational strategy, a neural network strategy, and a case-based strategy. Furthermore, these strategies are compared based on the design principles and performances. The aim of this paper is to study different approaches for designing synthesis strategies and offers guide lines for selecting a suitable method for solution synthesis in different synthesis cases.