B. Goertzel, Shujing Ke, Ruiting Lian, J. O'Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins, Gino Yu
{"title":"The cogprime architecture for embodied Artificial General Intelligence","authors":"B. Goertzel, Shujing Ke, Ruiting Lian, J. O'Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins, Gino Yu","doi":"10.1109/CIHLI.2013.6613266","DOIUrl":null,"url":null,"abstract":"CogPrime, a comprehensive architecture for embodied Artificial General Intelligence, is reviewed, covering the core architecture and algorithms, the underlying conceptual motivations, and the emergent structures, dynamics and functionalities expected to arise in a completely implemented CogPrime system once it has undergone appropriate experience and education. A qualitative argument is sketched, in favor of the assertion that a completed CogPrime system, given a modest amount of experience in an embodiment enabling it to experience a reasonably rich human-like world, will give rise to human-level general intelligence (with significant difference from humans, and with potential for progress beyond this level).","PeriodicalId":242647,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIHLI.2013.6613266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
CogPrime, a comprehensive architecture for embodied Artificial General Intelligence, is reviewed, covering the core architecture and algorithms, the underlying conceptual motivations, and the emergent structures, dynamics and functionalities expected to arise in a completely implemented CogPrime system once it has undergone appropriate experience and education. A qualitative argument is sketched, in favor of the assertion that a completed CogPrime system, given a modest amount of experience in an embodiment enabling it to experience a reasonably rich human-like world, will give rise to human-level general intelligence (with significant difference from humans, and with potential for progress beyond this level).