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Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture

By B. Goertzel, J. Pitt, J. Wigmore, N. Geisweiller, Z. Cai, R. Lian, D. Huang and G. Yu

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. Supposing one agrees that a broadly ”integrative ” approach is an appropriate way to achieve advanced AI functionality. One must then specify what ”integrative ” really means. At one extreme, it could mean merely connecting together differen

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.6557
Provided by: CiteSeerX
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