{"title":"用于理解人类指令、学习和计划的体系结构","authors":"B. MacDonald, J. Baltes, Istvan Hernadi","doi":"10.1109/ANNES.1995.499478","DOIUrl":null,"url":null,"abstract":"This paper presents our ongoing work in building an architecture for instructable systems, along with an illustrative example. The architecture uses knowledge about instruction discourse, planning and induction, to create a task representation that is suitable for execution as well as for planning later tasks. Major components have been built; future work includes putting them together. Our aim is to provide end users with \"expert assistant\" tools for automating their repetitive computer tasks.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An architecture for understanding human instructions, learning, and planning\",\"authors\":\"B. MacDonald, J. Baltes, Istvan Hernadi\",\"doi\":\"10.1109/ANNES.1995.499478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents our ongoing work in building an architecture for instructable systems, along with an illustrative example. The architecture uses knowledge about instruction discourse, planning and induction, to create a task representation that is suitable for execution as well as for planning later tasks. Major components have been built; future work includes putting them together. Our aim is to provide end users with \\\"expert assistant\\\" tools for automating their repetitive computer tasks.\",\"PeriodicalId\":123427,\"journal\":{\"name\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANNES.1995.499478\",\"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 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANNES.1995.499478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An architecture for understanding human instructions, learning, and planning
This paper presents our ongoing work in building an architecture for instructable systems, along with an illustrative example. The architecture uses knowledge about instruction discourse, planning and induction, to create a task representation that is suitable for execution as well as for planning later tasks. Major components have been built; future work includes putting them together. Our aim is to provide end users with "expert assistant" tools for automating their repetitive computer tasks.