The cogprime architecture for embodied Artificial General Intelligence

Ben Goertzel; Shujing Ke; Ruiting Lian; Jade O'Neill; Keyvan Sadeghi; Dingjie Wang; Oliver Watkins; Gino Tu Yu

doi:10.1109/CIHLI.2013.6613266

The cogprime architecture for embodied Artificial General Intelligence

Ben Goertzel, Shujing Ke, Ruiting Lian, Jade O'Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins, Gino Tu Yu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

14 Citations (Scopus)

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).

Original language	English
Title of host publication	Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Pages	60-67
Number of pages	8
DOIs	https://doi.org/10.1109/CIHLI.2013.6613266
Publication status	Published - 4 Nov 2013
Event	2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 - Singapore, Singapore Duration: 16 Apr 2013 → 19 Apr 2013

Conference

Conference	2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
Country/Territory	Singapore
City	Singapore
Period	16/04/13 → 19/04/13

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction

More information

10.1109/CIHLI.2013.6613266

Cite this

Goertzel, B., Ke, S., Lian, R., O'Neill, J., Sadeghi, K., Wang, D., Watkins, O., & Yu, G. T. (2013). The cogprime architecture for embodied Artificial General Intelligence. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (pp. 60-67). Article 6613266 https://doi.org/10.1109/CIHLI.2013.6613266

@inproceedings{74c530deb9df405aab2f4589b643640d,

title = "The cogprime architecture for embodied Artificial General Intelligence",

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).",

author = "Ben Goertzel and Shujing Ke and Ruiting Lian and Jade O'Neill and Keyvan Sadeghi and Dingjie Wang and Oliver Watkins and Yu, {Gino Tu}",

year = "2013",

month = nov,

day = "4",

doi = "10.1109/CIHLI.2013.6613266",

language = "English",

isbn = "9781467359238",

pages = "60--67",

booktitle = "Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013",

note = "2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 ; Conference date: 16-04-2013 Through 19-04-2013",

}

Goertzel, B, Ke, S, Lian, R, O'Neill, J, Sadeghi, K, Wang, D, Watkins, O & Yu, GT 2013, The cogprime architecture for embodied Artificial General Intelligence. in Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013., 6613266, pp. 60-67, 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, Singapore, Singapore, 16/04/13. https://doi.org/10.1109/CIHLI.2013.6613266

The cogprime architecture for embodied Artificial General Intelligence. / Goertzel, Ben; Ke, Shujing; Lian, Ruiting et al.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. p. 60-67 6613266.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - The cogprime architecture for embodied Artificial General Intelligence

AU - Goertzel, Ben

AU - Ke, Shujing

AU - Lian, Ruiting

AU - O'Neill, Jade

AU - Sadeghi, Keyvan

AU - Wang, Dingjie

AU - Watkins, Oliver

AU - Yu, Gino Tu

PY - 2013/11/4

Y1 - 2013/11/4

N2 - 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).

AB - 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).

UR - http://www.scopus.com/inward/record.url?scp=84886683521&partnerID=8YFLogxK

U2 - 10.1109/CIHLI.2013.6613266

DO - 10.1109/CIHLI.2013.6613266

M3 - Conference article published in proceeding or book

SN - 9781467359238

SP - 60

EP - 67

BT - Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

T2 - 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Y2 - 16 April 2013 through 19 April 2013

ER -

Goertzel B, Ke S, Lian R, O'Neill J, Sadeghi K, Wang D et al. The cogprime architecture for embodied Artificial General Intelligence. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, CIHLI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013. 2013. p. 60-67. 6613266 doi: 10.1109/CIHLI.2013.6613266

The cogprime architecture for embodied Artificial General Intelligence

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this