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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

Internet

https://doi.org/10.2991/978-94-6239-027-0

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