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Engineering General Intelligence, Part 2

The CogPrime Architecture for Integrative, Embodied AGI

  • Book
  • © 2014

Overview

  • No other book (or research paper) provides a detailed, carefully-argued design for 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 mathematical and conceptual theory of general intelligence and the practical engineering of real-world AGI software systems with comprehensive human-level capabilities
  • The book gives concrete guidance for the integration of AI subsystems created according to diverse theoretical paradigms such as evolutionary learning, probabilistic reasoning, attractor neural networks and computational linguistics
  • Includes supplementary material: sn.pub/extras

Part of the book series: Atlantis Thinking Machines (ATLANTISTM, volume 6)

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Table of contents (31 chapters)

  1. Architectural and Representational Mechanisms

  2. The Cognitive Cycle

  3. Perception and Action

  4. Procedure Learning

Keywords

About this book

The work outlines a detailed blueprint for the creation of an Artificial General Intelligence system with capability at the human level and ultimately beyond, according to the Cog Prime AGI design and the Open Cog software architecture.

Authors and Affiliations

  • G/F 51C Lung Mei Village, Tai Po, Hong Kong, China

    Ben Goertzel

  • Igenesis Av. Prof. M´ario, Minas Gerais, Brazil

    Cassio Pennachin

  • Samokov, Bulgaria

    Nil Geisweiller

Bibliographic Information

  • Book Title: Engineering General Intelligence, Part 2

  • Book Subtitle: The CogPrime Architecture for Integrative, Embodied AGI

  • Authors: Ben Goertzel, Cassio Pennachin, Nil Geisweiller

  • Series Title: Atlantis Thinking Machines

  • DOI: https://doi.org/10.2991/978-94-6239-030-0

  • Publisher: Atlantis Press Paris

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Atlantis Press and the authors 2014

  • Hardcover ISBN: 978-94-6239-029-4Published: 14 March 2014

  • eBook ISBN: 978-94-6239-030-0Published: 08 July 2014

  • Series ISSN: 1877-3273

  • Series E-ISSN: 1877-3281

  • Edition Number: 1

  • Number of Pages: XXII, 562

  • Number of Illustrations: 33 b/w illustrations, 9 illustrations in colour

  • Topics: Artificial Intelligence

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