Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture
-
Published:2011-08-04
Issue:1
Volume:25
Page:1436-1441
-
ISSN:2374-3468
-
Container-title:Proceedings of the AAAI Conference on Artificial Intelligence
-
language:
-
Short-container-title:AAAI
Author:
Goertzel Ben,Pitt Joel,Wigmore Jared,Geisweiller Nil,Cai Zhenhua,Lian Ruiting,Huang Deheng,Yu Gino
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.
Publisher
Association for the Advancement of Artificial Intelligence (AAAI)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献