{"title":"面向对象范式和神经计算","authors":"P. Prueitt, R. Craig","doi":"10.1145/106965.105259","DOIUrl":null,"url":null,"abstract":"This paper develops the conjecture that the object-oriented paradigm is the best available modeling paradigm for creating compu’mtional models of the subsystems of the human brain. This conjecture ties together the two main themes of this paper, linking the object-oriented paradigm with neural networks via the dynamicat system and the emergence of a new interdisciplinary research field.","PeriodicalId":359315,"journal":{"name":"conference on Analysis of Neural Network Applications","volume":"39 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The object-oriented paradigm and neurocomputing\",\"authors\":\"P. Prueitt, R. Craig\",\"doi\":\"10.1145/106965.105259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper develops the conjecture that the object-oriented paradigm is the best available modeling paradigm for creating compu’mtional models of the subsystems of the human brain. This conjecture ties together the two main themes of this paper, linking the object-oriented paradigm with neural networks via the dynamicat system and the emergence of a new interdisciplinary research field.\",\"PeriodicalId\":359315,\"journal\":{\"name\":\"conference on Analysis of Neural Network Applications\",\"volume\":\"39 10\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"conference on Analysis of Neural Network Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/106965.105259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"conference on Analysis of Neural Network Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/106965.105259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper develops the conjecture that the object-oriented paradigm is the best available modeling paradigm for creating compu’mtional models of the subsystems of the human brain. This conjecture ties together the two main themes of this paper, linking the object-oriented paradigm with neural networks via the dynamicat system and the emergence of a new interdisciplinary research field.
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