Challenges for Computational Intelligence
In the year 1900 at the International Congress of Mathematicians in Paris David Hilbert delivered what is now considered the most important talk ever given in the history of mathematics, proposing 23 major problems worth working at in the future. One hundred years later the impact of this talk is st...
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| Other Authors: | , |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
| Series: | Studies in Computational Intelligence,
63 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-71984-7 |
Table of Contents:
- What Is Computational Intelligence and Where Is It Going?
- New Millennium AI and the Convergence of History
- The Challenges of Building Computational Cognitive Architectures
- Programming a Parallel Computer: The Ersatz Brain Project
- The Human Brain as a Hierarchical Intelligent Control System
- Artificial Brain and OfficeMate TR based on Brain Information Processing Mechanism
- Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour
- Computational Scene Analysis
- Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities
- The Science of Pattern Recognition. Achievements and Perspectives
- Towards Comprehensive Foundations of Computational Intelligence
- Knowledge-Based Clustering in Computational Intelligence
- Generalization in Learning from Examples
- A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective
- Computational Intelligence in Mind Games
- Computer Go: A Grand Challenge to AI
- Noisy Chaotic Neural Networks for Combinatorial Optimization.