{"title":"Artificial general intelligence and classical neural network","authors":"Pei Wang","doi":"10.1109/GRC.2006.1635771","DOIUrl":null,"url":null,"abstract":"The research goal of Artificial General Intelligence (AGI) and the notion of Classical Neural Network (CNN) are specified. With respect to the requirements of AGI, the strength and weakness of CNN are discussed, in the aspects of knowledge representation, learning process, and overall objective of the system. To resolve the issues in CNN in a general and efficient way remains a challenge to future neural network research.","PeriodicalId":400997,"journal":{"name":"2006 IEEE International Conference on Granular Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Granular Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GRC.2006.1635771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The research goal of Artificial General Intelligence (AGI) and the notion of Classical Neural Network (CNN) are specified. With respect to the requirements of AGI, the strength and weakness of CNN are discussed, in the aspects of knowledge representation, learning process, and overall objective of the system. To resolve the issues in CNN in a general and efficient way remains a challenge to future neural network research.