{"title":"联想学习的未来","authors":"J. Andreae","doi":"10.1109/ANNES.1995.499470","DOIUrl":null,"url":null,"abstract":"Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The future of associative learning\",\"authors\":\"J. Andreae\",\"doi\":\"10.1109/ANNES.1995.499470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.\",\"PeriodicalId\":123427,\"journal\":{\"name\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"volume\":\"6 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.1995.499470\",\"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.1995.499470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.