Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture

Authors

  • Ben Goertzel Novamente LLC
  • Joel Pitt Hong Kong Polytechnic University
  • Jared Wigmore Hong Kong Polytechnic University
  • Nil Geisweiller Novamente LLC
  • Zhenhua Cai Xiamen University
  • Ruiting Lian Xiamen University
  • Deheng Huang Xiamen University
  • Gino Yu Hong Kong Polytechnic University

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.

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Published

2011-08-04

How to Cite

Goertzel, B., Pitt, J., Wigmore, J., Geisweiller, N., Cai, Z., Lian, R., Huang, D., & Yu, G. (2011). Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1436-1441. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/7831

Issue

Section

Special Track on Integrated Intelligence