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Artificial General Intelligence

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Cover of 'Artificial General Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Creativity, Cognitive Mechanisms, and Logic
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    Chapter 2 MicroPsi 2: The Next Generation of the MicroPsi Framework
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    Chapter 3 An Extensible Language Interfacefor Robot Manipulation
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    Chapter 4 Noisy Reasoners: Errors of Judgement in Humans and AIs
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    Chapter 5 2012: The Connectome, WBE and AGI
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    Chapter 6 Logical Prior Probability
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    Chapter 7 A Representation Theorem for Decisions about Causal Models
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    Chapter 8 Modular Value Iteration through Regional Decomposition
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    Chapter 9 Perception Processing for General Intelligence: Bridging the Symbolic/Subsymbolic Gap
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    Chapter 10 On Attention Mechanisms for AGI Architectures:A Design Proposal
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    Chapter 11 A Framework for Representing Action Meaning in Artificial Systems via Force Dimensions
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    Chapter 12 Avoiding Unintended AI Behaviors
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    Chapter 13 Decision Support for Safe AI Design
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    Chapter 14 On Measuring Social Intelligence: Experiments on Competition and Cooperation
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    Chapter 15 Toward Tractable AGI: Challenges for System Identification in Neural Circuitry
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    Chapter 16 Artificial General Intelligence
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    Chapter 17 Syntax-Semantic Mapping for General Intelligence: Language Comprehension as Hypergraph Homomorphism, Language Generation as Constraint Satisfaction
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    Chapter 18 An Intelligent Theory of Cost for Partial Metric Spaces
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    Chapter 19 Fractal Analogies for General Intelligence
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    Chapter 20 Pattern Mining for General Intelligence: The FISHGRAM Algorithm for Frequent and Interesting Subhypergraph Mining
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    Chapter 21 Pursuing Artificial General Intelligence by Leveraging the Knowledge Capabilities of ACT-R
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    Chapter 22 Space-Time Embedded Intelligence
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    Chapter 23 Memory Issues of Intelligent Agents
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    Chapter 24 What Is It Like to Be a Brain Simulation?
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    Chapter 25 Extending Universal Intelligence Models with Formal Notion of Representation
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    Chapter 26 Differences between Kolmogorov Complexity and Solomonoff Probability: Consequences for AGI
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    Chapter 27 Deconstructing Reinforcement Learning in Sigma
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    Chapter 28 Extending Mental Imagery in Sigma
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    Chapter 29 Binary Space Partitioning as Intrinsic Reward
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    Chapter 30 Artificial General Intelligence
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    Chapter 31 Transparent Neural Networks
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    Chapter 32 Optimistic AIXI
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    Chapter 33 On the Functional Contributions of Emotion Mechanisms to (Artificial) Cognition and Intelligence
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    Chapter 34 Stupidity and the Ouroboros Model
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    Chapter 35 On Ensemble Techniques for AIXI Approximation
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    Chapter 36 Motivation Management in AGI Systems
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    Chapter 37 Hippocampal Formation Mechanism Will Inspire Frame Generation for Building an Artificial General Intelligence
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    Chapter 38 Fuzzy-Probabilistic Logic for Common Sense
Overall attention for this book and its chapters
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Title
Artificial General Intelligence
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-35506-6
ISBNs
978-3-64-235505-9, 978-3-64-235506-6
Editors

Bach, Joscha, Goertzel, Ben, Iklé, Matthew

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X Demographics

The data shown below were collected from the profiles of 6 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Student > Master 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 2 33%
Psychology 1 17%
Unknown 1 17%