Theoretical Foundations of Artificial General Intelligence

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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

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What Is the Matter Here?
2 Artificial Intelligence and CognitiveModeling Have the Same Problem
The PiagetMacGuyver Room
From General Intelligence toward a HumanlikeMind
5 One Decade of Universal Artificial Intelligence
6 Deep Reinforcement Learning as Foundation for Artificial General Intelligence
7 The LIDA Model as a Foundational Architecture for AGI
8 The Architecture of HumanLike General Intelligence
A Lesson in SelfReflective Systems
Evaluating the Flexibility of Recognition
12 Theory Blending as a Framework for Creativity in Systems for General Intelligence
13 Modeling Motivation and the Emergence of Affect in a Cognitive Agent
14 AGI and Machine Consciousness
15 Human and Machine Consciousness as a Boundary Effect in the Concept Analysis Mechanism
16 Theories of Artificial Intelligence Metatheoretical considerations

From Manual Methods to SelfConstructive Systems

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