Challenges for Computational Intelligence 2007

• Wlodzislaw Duch:
  What Is Computational Intelligence and Where Is It Going? 1-13
  
• Jürgen Schmidhuber:
  New Millennium AI and the Convergence of History. 15-35
  
• Ron Sun:
  The Challenges of Building Computational Cognitive Architectures. 37-60
  
• James A. Anderson, Paul Allopenna, Gerald S. Guralnik, David Sheinberg, John A. Santini, Socrates Dimitriadis, Benjamin B. Machta, Brian T. Merritt:
  Programming a Parallel Computer: The Ersatz Brain Project. 61-98
  
• J. G. Taylor:
  The Human Brain as a Hierarchical Intelligent Control System. 99-122
  
• Soo-Young Lee:
  Artificial Brain and OfficeMate ^TR based on Brain Information Processing Mechanism. 123-143
  
• Stan Gielen:
  Natural Intelligence and Artificial Intelligence: Bridging the Gap between Neurons and Neuro-Imaging to Understand Intelligent Behaviour. 145-161
  
• DeLiang Wang:
  Computational Scene Analysis. 163-191
  
• Nikola Kasabov:
  Brain-, Gene-, and Quantum Inspired Computational Intelligence: Challenges and Opportunities. 193-219
  
• Robert P. W. Duin, Elzbieta Pekalska:
  The Science of Pattern Recognition. Achievements and Perspectives. 221-259
  
• Wlodzislaw Duch:
  Towards Comprehensive Foundations of Computational Intelligence. 261-316
  
• Witold Pedrycz:
  Knowledge-Based Clustering in Computational Intelligence. 317-341
  
• Vera Kurková:
  Generalization in Learning from Examples. 343-363
  
• Lei Xu:
  A Trend on Regularization and Model Selection in Statistical Learning: A Bayesian Ying Yang Learning Perspective. 365-406
  
• Jacek Mandziuk:
  Computational Intelligence in Mind Games. 407-442
  
• Xindi Cai, Donald C. Wunsch II:
  Computer Go: A Grand Challenge to AI. 443-465
  
• Lipo Wang, Haixiang Shi:
  Noisy Chaotic Neural Networks for Combinatorial Optimization. 467-487