Computational Intelligence: Research Frontiers

This state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the field of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field.

The 18 selected chapters originate from lectures and presentations given at the 5th IEEE World Congress on Computational Intelligence, WCCI 2008, held in Hong Kong, China, in June 2008. After an introduction to the field and an overview of the volume, the chapters are divided into four topical sections on machine learning and brain computer interface, fuzzy modeling and control, computational evolution, and applications.

Klappentext

The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), held during June 1-6, 2008 in Hong Kong, China, marked an important milestone in advancing the paradigms of the new fields of computational intelligence. As the fifth event in the series that has spanned the globe (Orlando-1994, Anchorage-1998, Honolulu-2002, Vancouver-2006), the congress offered renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. Most of the congress's program featured regular and special technical sessions that provided participants with new insights into the most recent developments in the field. As a tradition, in addition to the parallel technical sessions, WCCI holds a series of plenary and invited lectures which are not included in the congress proceedings. As its predecessors, at WCCI 2008, 20 expert speakers shared their expertise on broader, if not panoramic, topics spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. Thanks to their time and expertise, we endeavored to offer this volume to attendees directly at the congress and the general public afterwards.

Inhalt

Machine Learning and Brain Computer Interface.- A New Framework for Machine Learning.- Bilevel Optimization and Machine Learning.- Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family.- The Berlin Brain-Computer Interface.- Basic Scheme of Neuroinformatics Platform: XooNIps.- Fuzzy Modeling and Control.- Collaborative Architectures of Fuzzy Modeling.- Information Fusion for Man-Machine Cooperation.- Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine.- Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments.- Computational Evolution.- The Burden of Proof: Part II.- Evolution of Altruistic Robots.- Simulated Evolution under Multiple Criteria Conditions Revisited.- Handling Uncertainties in Evolutionary Multi-Objective Optimization.- Applications.- VCV2 - Visual Cluster Validity.- Data Management by Self-Organizing Maps.- Cocktail Party Processing.- Similarities in Fuzzy Data Mining: From a Cognitive View to Real-World Applications.- Attaining Fault Tolerance through Self-adaption: The Strengths and Weaknesses of Evolvable Hardware Approaches.