{"title":"同伴认知系统:设计目标和一些经验教训","authors":"Kenneth D. Forbus, M. Klenk, T. Hinrichs","doi":"10.1109/mis.2009.86","DOIUrl":null,"url":null,"abstract":"The Companion cognitive architecture is designed to support experiments in achieving human-level intelligence. This paper describes the seven key design goals of Companions, relating them to properties of human reasoning and learning, and to engineering concerns raised by attempting to build large-scale cognitive systems. We summarize our experiences to date with Companions in two kinds of domains, test taking and game playing. We close by summarizing some of the challenges that remain.","PeriodicalId":385169,"journal":{"name":"AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence","volume":"200 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Companion Cognitive Systems: Design Goals and Some Lessons Learned\",\"authors\":\"Kenneth D. Forbus, M. Klenk, T. Hinrichs\",\"doi\":\"10.1109/mis.2009.86\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Companion cognitive architecture is designed to support experiments in achieving human-level intelligence. This paper describes the seven key design goals of Companions, relating them to properties of human reasoning and learning, and to engineering concerns raised by attempting to build large-scale cognitive systems. We summarize our experiences to date with Companions in two kinds of domains, test taking and game playing. We close by summarizing some of the challenges that remain.\",\"PeriodicalId\":385169,\"journal\":{\"name\":\"AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence\",\"volume\":\"200 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/mis.2009.86\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mis.2009.86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Companion Cognitive Systems: Design Goals and Some Lessons Learned
The Companion cognitive architecture is designed to support experiments in achieving human-level intelligence. This paper describes the seven key design goals of Companions, relating them to properties of human reasoning and learning, and to engineering concerns raised by attempting to build large-scale cognitive systems. We summarize our experiences to date with Companions in two kinds of domains, test taking and game playing. We close by summarizing some of the challenges that remain.
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