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Theoretical Foundations of Artificial General Intelligence

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Cover of 'Theoretical Foundations of Artificial General Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: What Is the Matter Here?
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    Chapter 2 Artificial Intelligence and Cognitive Modeling Have the Same Problem
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    Chapter 3 Psychometric Artificial General Intelligence: The Piaget-MacGuyver Room
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    Chapter 4 Beyond the Octopus: From General Intelligence Toward a Human-Like Mind
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    Chapter 5 One Decade of Universal Artificial Intelligence
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    Chapter 6 Deep Reinforcement Learning as Foundation for Artificial General Intelligence
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    Chapter 7 The LIDA Model as a Foundational Architecture for AGI
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    Chapter 8 The Architecture of Human-Like General Intelligence
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    Chapter 9 A New Constructivist AI: From Manual Methods to Self-Constructive Systems
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    Chapter 10 Towards an Actual Gödel Machine Implementation: a Lesson in Self-Reflective Systems
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    Chapter 11 Artificial General Intelligence Begins With Recognition: Evaluating the Flexibility of Recognition
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    Chapter 12 Theory Blending as a Framework for Creativity in Systems for General Intelligence
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    Chapter 13 Modeling Motivation and the Emergence of Affect in a Cognitive Agent
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    Chapter 14 AGI and Machine Consciousness
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    Chapter 15 Human and Machine Consciousness as a Boundary Effect in the Concept Analysis Mechanism
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    Chapter 16 Theories of Artificial Intelligence—Meta-Theoretical considerations
Attention for Chapter 8: The Architecture of Human-Like General Intelligence
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Chapter title
The Architecture of Human-Like General Intelligence
Chapter number 8
Book title
Theoretical Foundations of Artificial General Intelligence
Published by
Atlantis Press, September 2012
DOI 10.2991/978-94-91216-62-6_8
Book ISBNs
978-9-49-121661-9, 978-9-49-121662-6
Authors

Goertzel, Ben, Iklé, Matt, Wigmore, Jared, Ben Goertzel, Matt Iklé, Jared Wigmore

Editors

Pei Wang, Ben Goertzel

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 17%
Researcher 4 17%
Student > Master 3 13%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Computer Science 8 33%
Social Sciences 4 17%
Agricultural and Biological Sciences 2 8%
Psychology 2 8%
Physics and Astronomy 1 4%
Other 2 8%
Unknown 5 21%