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Artificial Cognition Architectures

  • Book
  • © 2014

Overview

Authors:
  1. James A. Crowder

    1. Englewood, USA

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  2. John N. Carbone

    1. Raytheon Intelligence and Information Sy, McKinney, USA

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  3. Shelli A. Friess

    1. Relevant Counseling LLC, Englewood, USA

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  • Presents basic human intelligence concepts framed for artificial intelligence systems

  • Examines the concepts of metacognition and metamemory,

  • Discusses architectural constructs for artificial intelligence systems

  • Includes supplementary material: sn.pub/extras

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Introduction

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 1-10

  3. The Information Continuum

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 11-15

  4. The Psychology of Artificial Intelligence

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 17-26

  5. Cognitive Intelligence and the Brain: Synthesizing Human Brain Functions

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 27-52

  6. Artificial Memory Systems

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 53-78

  7. Artificial Consciousness

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 79-107

  8. Learning in an Artificial Cognitive System

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 109-133

  9. Synthetic Reasoning

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 135-171

  10. Artificial Cognitive System Architectures

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 173-201

  11. Artificial Cognitive Software Architectures

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 203-222

  12. SELF Physical Architectures

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 223-227

  13. Cyber Security Within a Cognitive Architecture

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 229-242

  14. Conclusions and Next Steps

    • James A. Crowder, John N. Carbone, Shelli A. Friess
    Pages 243-248

  15. Back Matter

    Pages 249-263
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Keywords

About this book

The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution

Authors and Affiliations

  • Englewood, USA

    James A. Crowder

  • Raytheon Intelligence and Information Sy, McKinney, USA

    John N. Carbone

  • Relevant Counseling LLC, Englewood, USA

    Shelli A. Friess

About the authors

James A. Crowder, PhD is Chief Engineer, Advanced Programs at Raytheon.

John N. Carbone, PhD is Technical Director, Tactical Intelligence Systems & Enterprise Group at Raytheon.

Shelli A. Friess, MA, NCC is a psychotherapist with a private practice.        

Bibliographic Information

  • Book Title: Artificial Cognition Architectures

  • Authors: James A. Crowder, John N. Carbone, Shelli A. Friess

  • DOI: https://doi.org/10.1007/978-1-4614-8072-3

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media New York 2014

  • Hardcover ISBN: 978-1-4614-8071-6Published: 11 August 2013

  • Softcover ISBN: 978-1-4899-8903-1Published: 23 August 2015

  • eBook ISBN: 978-1-4614-8072-3Published: 13 August 2013

  • Edition Number: 1

  • Number of Pages: XVI, 263

  • Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks

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