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Engineering General Intelligence, Part 1 A Path to Advanced AGI via Embodied Learning and Cognitive Synergy /

The work outlines a novel conceptual and theoretical framework for understanding Artificial General Intelligence and based on this framework outlines a practical roadmap for the development of AGI with capability at the human level and ultimately beyond.

Main Authors:	Goertzel, Ben. (Author, http://id.loc.gov/vocabulary/relators/aut), Pennachin, Cassio. (http://id.loc.gov/vocabulary/relators/aut), Geisweiller, Nil. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Paris : Atlantis Press : Imprint: Atlantis Press, 2014.
Edition:	1st ed. 2014.
Series:	Atlantis Thinking Machines, 5
Subjects:	Artificial intelligence. Computational intelligence. Computational complexity. Neurosciences. Neural networks (Computer science) . Artificial Intelligence. Computational Intelligence. Complexity. Mathematical Models of Cognitive Processes and Neural Networks.
Online Access:	https://doi.org/10.2991/978-94-6239-027-0

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