Theoretical Foundations of Artificial General Intelligence

Pei Wang, Ben Goertzel

Springer Science & Business Media, Aug 31, 2012 - Computers - 334 pages

This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues. And the discussions are presented in a way that makes the problems and proposed solutions understandable to a wide readership of non-specialists, providing a distinction from the journal and conference-proceedings literature. The book will benefit AGI researchers and students by giving them a solid orientation in the conceptual foundations of the field (which is not currently available anywhere); and it would benefit researchers in allied fields by giving them a high-level view of the current state of thinking in the AGI field. Furthermore, by addressing key topics in the field in a coherent way, the collection as a whole may play an important role in guiding future research in both theoretical and practical AGI, and in linking AGI research with work in allied disciplines

Contents

• What Is the Matter Here?: 1
• 2 Artificial Intelligence and CognitiveModeling Have the Same Problem: 11
• The PiagetMacGuyver Room: 25
• From General Intelligence toward a HumanlikeMind: 49
• 5 One Decade of Universal Artificial Intelligence: 67
• 6 Deep Reinforcement Learning as Foundation for Artificial General Intelligence: 89
• 7 The LIDA Model as a Foundational Architecture for AGI: 103
• 8 The Architecture of HumanLike General Intelligence: 123
• From Manual Methods to SelfConstructive Systems: 145
• A Lesson in SelfReflective Systems: 173
• Evaluating the Flexibility of Recognition: 197
• 12 Theory Blending as a Framework for Creativity in Systems for General Intelligence: 219
• 13 Modeling Motivation and the Emergence of Affect in a Cognitive Agent: 241
• 14 AGI and Machine Consciousness: 263
• 15 Human and Machine Consciousness as a Boundary Effect in the Concept Analysis Mechanism: 283
• 16 Theories of Artificial Intelligence Metatheoretical considerations: 305
• Index: 325

Bibliographic information

• Title: Theoretical Foundations of Artificial General Intelligence; Volume 4 of Atlantis Thinking Machines
• Editors: Pei Wang, Ben Goertzel
• Edition: illustrated
• Publisher: Springer Science & Business Media, 2012
• ISBN: 9491216627, 9789491216626
• Length: 334 pages
• Subjects: Computers / Computer Science; Computers / Computer Simulation; Computers / Desktop Applications / Design & Graphics; Computers / Intelligence (AI) & Semantics; Computers / Online Services; Computers / Software Development & Engineering / General; Psychology / Cognitive Psychology & Cognition