Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture

B. Goertzel; J. Pitt; J. Wigmore; N. Geisweiller; Z. Cai; R. Lian; D. Huang; Gino Tu Yu

Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture

B. Goertzel, J. Pitt, J. Wigmore, N. Geisweiller, Z. Cai, R. Lian, D. Huang, Gino Tu Yu

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

8 Citations (Scopus)

Abstract

The hypothesis is presented that "cognitive synergy" - proactive and mutually-assistive feedback between different cognitive processes associated with different types of memory - may serve as a foundation for advanced artificial general intelligence. A specific AI architecture founded on this idea, OpenCogPrime, is described, in the context of its application to control virtual agents and robots. The manifestations of cognitive synergy in OpenCogPrime's procedural and declarative learning algorithms are discussed in some detail.

Original language	English
Title of host publication	AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference
Pages	1436-1441
Number of pages	6
Volume	2
Publication status	Published - 2 Nov 2011
Event	25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11 - San Francisco, CA, United States Duration: 7 Aug 2011 → 11 Aug 2011

Conference

Conference	25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11
Country/Territory	United States
City	San Francisco, CA
Period	7/08/11 → 11/08/11

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

Goertzel, B., Pitt, J., Wigmore, J., Geisweiller, N., Cai, Z., Lian, R., Huang, D., & Yu, G. T. (2011). Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture. In AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference (Vol. 2, pp. 1436-1441)

Goertzel, B. ; Pitt, J. ; Wigmore, J. et al. / Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture. AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. Vol. 2 2011. pp. 1436-1441

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title = "Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture",

abstract = "The hypothesis is presented that {"}cognitive synergy{"} - proactive and mutually-assistive feedback between different cognitive processes associated with different types of memory - may serve as a foundation for advanced artificial general intelligence. A specific AI architecture founded on this idea, OpenCogPrime, is described, in the context of its application to control virtual agents and robots. The manifestations of cognitive synergy in OpenCogPrime's procedural and declarative learning algorithms are discussed in some detail.",

author = "B. Goertzel and J. Pitt and J. Wigmore and N. Geisweiller and Z. Cai and R. Lian and D. Huang and Yu, {Gino Tu}",

year = "2011",

month = nov,

day = "2",

language = "English",

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booktitle = "AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference",

note = "25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11 ; Conference date: 07-08-2011 Through 11-08-2011",

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Goertzel, B, Pitt, J, Wigmore, J, Geisweiller, N, Cai, Z, Lian, R, Huang, D & Yu, GT 2011, Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture. in AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. vol. 2, pp. 1436-1441, 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11, San Francisco, CA, United States, 7/08/11.

Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture. / Goertzel, B.; Pitt, J.; Wigmore, J. et al.
AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. Vol. 2 2011. p. 1436-1441.

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

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Goertzel B, Pitt J, Wigmore J, Geisweiller N, Cai Z, Lian R et al. Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture. In AAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference. Vol. 2. 2011. p. 1436-1441

Cognitive synergy between procedural and declarative learning in the control of animated and robotic agents using the OpenCogPrime AGI architecture

Abstract

Conference

ASJC Scopus subject areas

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