{"title":"EUREKA-II:基于知识的实时控制系统的编程工具","authors":"S. Tano, S. Masui, T. Nakano, K. Mori","doi":"10.1109/AIIA.1988.13320","DOIUrl":null,"url":null,"abstract":"A knowledge engineering (KE) tool called EUREKA-II that is intended to support the building of knowledge-based real-time control systems is outlined. Its requirements are: the knowledge representation scheme and the inference method must correspond to those of the operators: easy connection to conventional control systems: efficient knowledge processing capability. To meet these requirements, EUREKA-II provides representation of five types of knowledge, i.e. metaknowledge, rule knowledge, factual knowledge, procedural knowledge, and hypothetical knowledge. These types of knowledge are processes by a high-performance inference mechanism consisting of a supervisor, a rule-network processor, a frame-base manager, and a view-note manager. This architecture allows high-level knowledge processing and flexible integration with existing application programs. EUREKA-II has successfully been applied to blast furnace control and is being applied to several other fields.<<ETX>>","PeriodicalId":112397,"journal":{"name":"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"EUREKA-II: a programming tool for knowledge-based real time control systems\",\"authors\":\"S. Tano, S. Masui, T. Nakano, K. Mori\",\"doi\":\"10.1109/AIIA.1988.13320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A knowledge engineering (KE) tool called EUREKA-II that is intended to support the building of knowledge-based real-time control systems is outlined. Its requirements are: the knowledge representation scheme and the inference method must correspond to those of the operators: easy connection to conventional control systems: efficient knowledge processing capability. To meet these requirements, EUREKA-II provides representation of five types of knowledge, i.e. metaknowledge, rule knowledge, factual knowledge, procedural knowledge, and hypothetical knowledge. These types of knowledge are processes by a high-performance inference mechanism consisting of a supervisor, a rule-network processor, a frame-base manager, and a view-note manager. This architecture allows high-level knowledge processing and flexible integration with existing application programs. EUREKA-II has successfully been applied to blast furnace control and is being applied to several other fields.<<ETX>>\",\"PeriodicalId\":112397,\"journal\":{\"name\":\"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Workshop on Artificial Intelligence for Industrial Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIIA.1988.13320\",\"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 International Workshop on Artificial Intelligence for Industrial Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIIA.1988.13320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EUREKA-II: a programming tool for knowledge-based real time control systems
A knowledge engineering (KE) tool called EUREKA-II that is intended to support the building of knowledge-based real-time control systems is outlined. Its requirements are: the knowledge representation scheme and the inference method must correspond to those of the operators: easy connection to conventional control systems: efficient knowledge processing capability. To meet these requirements, EUREKA-II provides representation of five types of knowledge, i.e. metaknowledge, rule knowledge, factual knowledge, procedural knowledge, and hypothetical knowledge. These types of knowledge are processes by a high-performance inference mechanism consisting of a supervisor, a rule-network processor, a frame-base manager, and a view-note manager. This architecture allows high-level knowledge processing and flexible integration with existing application programs. EUREKA-II has successfully been applied to blast furnace control and is being applied to several other fields.<>