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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
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Citations

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Title
Challenges for Computational Intelligence
Published by
Springer Science & Business Media, June 2007
DOI 10.1007/978-3-540-71984-7
ISBNs
978-3-54-071983-0, 978-3-54-071984-7
Editors

Duch, Włodzisław, Mańdziuk, Jacek

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Bachelor 4 11%
Lecturer 3 9%
Other 7 20%
Unknown 4 11%
Readers by discipline Count As %
Computer Science 8 23%
Engineering 8 23%
Earth and Planetary Sciences 2 6%
Business, Management and Accounting 2 6%
Mathematics 1 3%
Other 6 17%
Unknown 8 23%