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Challenges for Computational Intelligence

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Cover of 'Challenges for Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 What Is Computational Intelligence and Where Is It Going?
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    Chapter 2 New Millennium AI and the Convergence of History
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    Chapter 3 The Challenges of Building Computational Cognitive Architectures
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    Chapter 4 Programming a Parallel Computer: The Ersatz Brain Project
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    Chapter 5 The Human Brain as a Hierarchical Intelligent Control System
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    Chapter 6 Artificial Brain and OfficeMate TR based on Brain Information Processing Mechanism
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    Chapter 7 Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour
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    Chapter 8 Computational Scene Analysis
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    Chapter 9 Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities
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    Chapter 10 The Science of Pattern Recognition. Achievements and Perspectives
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    Chapter 11 Towards Comprehensive Foundations of Computational Intelligence
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    Chapter 12 Knowledge-Based Clustering in Computational Intelligence
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    Chapter 13 Generalization in Learning from Examples
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    Chapter 14 A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective
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    Chapter 15 Computational Intelligence in Mind Games
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    Chapter 16 Computer Go: A Grand Challenge to AI
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    Chapter 17 Noisy Chaotic Neural Networks for Combinatorial Optimization
Attention for Chapter 2: New Millennium AI and the Convergence of History
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Citations

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Chapter title
New Millennium AI and the Convergence of History
Chapter number 2
Book title
Challenges for Computational Intelligence
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-71984-7_2
Book ISBNs
978-3-54-071983-0, 978-3-54-071984-7
Authors

Jürgen Schmidhuber, Schmidhuber, Jürgen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Japan 2 4%
United Kingdom 2 4%
France 1 2%
Italy 1 2%
Australia 1 2%
United States 1 2%
Unknown 41 80%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 25%
Student > Ph. D. Student 12 24%
Researcher 10 20%
Other 3 6%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 4 8%
Readers by discipline Count As %
Computer Science 24 47%
Engineering 8 16%
Philosophy 2 4%
Agricultural and Biological Sciences 2 4%
Earth and Planetary Sciences 2 4%
Other 7 14%
Unknown 6 12%