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

• Main Authors: Goertzel, Ben (Author), Pennachin, Cassio (Author), Geisweiller, Nil (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Paris : Atlantis Press : Imprint: Atlantis Press, 2014.
• Series: Atlantis Thinking Machines, 5
• Subjects: Computer science.; Neurosciences.; Artificial intelligence.; Neural networks (Computer science).; Computational intelligence.; Complexity, Computational.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Complexity.; Mathematical Models of Cognitive Processes and Neural Networks.
• Physical Description: XXII, 409 p. 105 illus., 32 illus. in color. online resource.
• ISBN: 9789462390270
• ISSN: 1877-3273 ;

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.