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.

Cite

Text

Goertzel et al. "Cognitive Synergy Between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture." AAAI Conference on Artificial Intelligence, 2011. doi:10.1609/AAAI.V25I1.7831

Markdown

[Goertzel et al. "Cognitive Synergy Between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture." AAAI Conference on Artificial Intelligence, 2011.](https://mlanthology.org/aaai/2011/goertzel2011aaai-cognitive/) doi:10.1609/AAAI.V25I1.7831

BibTeX

@inproceedings{goertzel2011aaai-cognitive,
  title     = {{Cognitive Synergy Between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture}},
  author    = {Goertzel, Ben and Pitt, Joel and Wigmore, Jared and Geisweiller, Nil and Cai, Zhenhua and Lian, Ruiting and Huang, Deheng and Yu, Gino},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1436-1441},
  doi       = {10.1609/AAAI.V25I1.7831},
  url       = {https://mlanthology.org/aaai/2011/goertzel2011aaai-cognitive/}
}