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  • © 2014

Engineering General Intelligence, Part 2

The CogPrime Architecture for Integrative, Embodied AGI

  • 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. Front Matter

    Pages i-xxii
  2. Architectural and Representational Mechanisms

    1. Front Matter

      Pages 1-1
    2. The OpenCog Framework

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 3-29
    3. Knowledge Representation Using the Atomspace

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 31-54
    4. Representing Procedural Knowledge

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 55-72
  3. The Cognitive Cycle

    1. Front Matter

      Pages 73-73
    2. Emotion, Motivation, Attention and Control

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 75-91
    3. Attention Allocation

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 93-125
    4. Economic Goal and Action Selection

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 127-134
    5. Integrative Procedure Evaluation

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 135-140
  4. Perception and Action

    1. Front Matter

      Pages 141-141
    2. Perceptual and Motor Hierarchies

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 143-161
    3. Integrating CogPrime with a Compositional Spatiotemporal Deep Learning Network

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 163-172
    4. Making DeSTIN Representationally Transparent

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 173-188
    5. Bridging the Symbolic/Subsymbolic Gap

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 189-209
  5. Procedure Learning

    1. Front Matter

      Pages 211-211
    2. Procedure Learning as Program Learning

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 213-216
    3. Learning Procedures via Imitation, Reinforcement and Correction

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 217-225
    4. Procedure Learning via Adaptively Biased Hillclimbing

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 227-238
    5. Probabilistic Evolutionary Procedure Learning

      • Ben Goertzel, Cassio Pennachin, Nil Geisweiller
      Pages 239-271

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

Buy it now

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access