What is computational intelligence and where is it going?

Włodzisław Duch

1-13

New millennium AI and the convergence of history

Jürgen Schmidhuber

15-35

The challenges of building computational cognitive architectures

Ron Sun

37-60

Programming a parallel computer

the ersatz brain project

James A. Anderson, Paul Allopenna, Gerald S. Guralnik, David Sheinberg, John A. Santini, Socrates Dimitriadis, Benjamin B. Machta, Brian T. Merritt

61-98

The human brain as a hierarchical intelligent control system

John G. Taylor

99-122

Artificial brain and officematetr based on brain information processing mechanism

Soo-Young Lee

123-143

Natural intelligence and artificial intelligence

bridging the gap between neurons and neuro-imaging to understand intelligent behaviour

Stan Gielen

145-161

Computational scene analysis

DeLiang Wang

163-191

Brain-, gene-, and quantum inspired computational intelligence

challenges and opportunities

Nikola Kasabov

193-219

The science of pattern recognition. achievements and perspectives

Robert W. Duin, Elżbieta Pekalska

221-259

Towards comprehensive foundations of computational intelligence

Włodzisław Duch

261-316

Knowledge-based clustering in computational intelligence

Witold Pedrycz

317-341

Generalization in learning from examples

Vera Kůrková

343-363

A trend on regularization and model selection in statistical learning

a bayesian ying yang learning perspective

Lei Xu

365-406

Computational intelligence in mind games

Jacek Mańdziuk

407-442

Computer go

a grand challenge to ai

Xindi Cai, Donald C. Wunsch

443-465

Noisy chaotic neural networks for combinatorial optimization

Lipo Wang, Haixiang Shi

467-487