This workshop reference Theoretical Foundations of Artificial General Intelligence (edited by Pei Wang & Ben Goertzel, 2012). This series publishes books resulting from theoretical research on and reproductions of general Artificial Intelligence (AI). The book series focuses on the establishment of new theories and paradigms in AI. At the same time, the series aims at exploring multiple scientific angles and methodologies, including results from research in cognitive science, neuroscience, theoretical and experimental AI, biology, and from innovative interdisciplinary methodologies.



Chapter 01:Introduction [slides video]
Chapter 02:Artificial Intelligence and Cognitive Modeling Have the Same Problem [slides video]
Chapter 03:The Piaget-MacGuyver Room [slides video]
Chapter 04:Beyond the Octopus: From General Intelligence toward a Human-like Mind [slides video]
Chapter 05:One Decade of Universal Artificial Intelligence [slides video]
Chapter 06: Deep Reinforcement Learning as Foundation for Artificial General Intelligence [slides video]
Chapter 07:The LIDA Model as a Foundational Architecture for AGI [slides video]
Chapter 08:The Architecture of Human-Like General Intelligence [slides video]
Chapter 09:A New Constructivist AI [slides video]
Chapter 10:Towards an Actual Gödel Machine Implementation [slides video]
Chapter 11:Artificial General Intelligence Begins with Recognition [slides video]
Chapter 12:Theory Blending as a Framework for Creativity in Systems for General Intelligence [slides video]
Chapter 13:Modeling Emotion and Affect [slides video]
Chapter 14:AGI and Machine Consciousness [slides video]
Chapter 15:Human and Machine Consciousness as a Boundary Effect in the Concept Analysis Mechanism [slides video]
Chapter 16:Theories of Artificial Intelligence [slides video]

2.Practical information

Instructors:Jing ZHU

TAs:Hao ZHAN, Ruoding Wang


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