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 proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 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 languageEnglish
Title of host publicationAAAI-11 / IAAI-11 - Proceedings of the 25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference
Pages1436-1441
Number of pages6
Volume2
Publication statusPublished - 2 Nov 2011
Event25th 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 201111 Aug 2011

Conference

Conference25th AAAI Conference on Artificial Intelligence and the 23rd Innovative Applications of Artificial Intelligence Conference, AAAI-11 / IAAI-11
Country/TerritoryUnited States
CitySan Francisco, CA
Period7/08/1111/08/11

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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