Authors:
- No other book (or research paper) provides a detailed, carefully-argued roadmap for getting from the present state of AI technology to the creation of Artificial General Intelligence with capability at the human level and beyond
- No other book (or research paper) bridges the gap between the abstract, mathematical theory of general intelligence and real-world general intelligence as demonstrated by humans and other practically achievable AGI systems
- The book gives concrete guidance for the creation of virtual worlds and robotic environments suitable for the education and development of advanced Artificial General Intelligence systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Atlantis Thinking Machines (ATLANTISTM, volume 5)
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Table of contents (19 chapters)
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Front Matter
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Overview of the CogPrime Architecture
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Front Matter
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Artificial and Natural General Intelligence
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Front Matter
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Toward a General Theory of General Intelligence
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Front Matter
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Cognitive and Ethical Development
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Front Matter
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Networks for Explicit and Implicit Knowledge Representation
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Front Matter
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About this book
Authors and Affiliations
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G/F 51C Lung Mei Village, Tai Po, Hong Kong, China
Ben Goertzel
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Igenesis, Minas Gerais, Brazil
Cassio Pennachin
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Samokov, Bulgaria
Nil Geisweiller
Bibliographic Information
Book Title: Engineering General Intelligence, Part 1
Book Subtitle: A Path to Advanced AGI via Embodied Learning and Cognitive Synergy
Authors: Ben Goertzel, Cassio Pennachin, Nil Geisweiller
Series Title: Atlantis Thinking Machines
DOI: https://doi.org/10.2991/978-94-6239-027-0
Publisher: Atlantis Press Paris
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Atlantis Press and the authors 2014
Hardcover ISBN: 978-94-6239-026-3Published: 12 March 2014
eBook ISBN: 978-94-6239-027-0Published: 08 July 2014
Series ISSN: 1877-3273
Series E-ISSN: 1877-3281
Edition Number: 1
Number of Pages: XXII, 409
Number of Illustrations: 73 b/w illustrations, 32 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Complexity, Neurosciences, Mathematical Models of Cognitive Processes and Neural Networks