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

• Κύριοι συγγραφείς: Goertzel, Ben (Συγγραφέας), Pennachin, Cassio (Συγγραφέας), Geisweiller, Nil (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Paris : Atlantis Press : Imprint: Atlantis Press, 2014.
• Σειρά: Atlantis Thinking Machines, 5
• Θέματα: 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.

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.