Computational Intelligence: Research Frontiers

1. Front Matter

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2. Machine Learning and Brain Computer Interface

   1. A New Framework for Machine Learning

      • Christopher M. Bishop

      Pages 1-24

   2. Bilevel Optimization and Machine Learning

      • Kristin P. Bennett, Gautam Kunapuli, Jing Hu, Jong-Shi Pang

      Pages 25-47

   3. Bayesian Ying Yang System, Best Harmony Learning, and Gaussian Manifold Based Family

      • Lei Xu

      Pages 48-78

   4. The Berlin Brain-Computer Interface

      • Benjamin Blankertz, Michael Tangermann, Florin Popescu, Matthias Krauledat, Siamac Fazli, Márton Dónaczy et al.

      Pages 79-101

   5. Basic Scheme of Neuroinformatics Platform: XooNIps

      • Shiro Usui, Yoshihiro Okumura

      Pages 102-116

3. Fuzzy Modeling and Control

   1. Collaborative Architectures of Fuzzy Modeling

      • Witold Pedrycz

      Pages 117-139

   2. Information Fusion for Man-Machine Cooperation

      • Ronald R. Yager

      Pages 140-158

   3. Bio-inspired Self-Organizing Relationship Network as Knowledge Acquisition Tool and Fuzzy Inference Engine

      • Takeshi Yamakawa, Takanori Koga

      Pages 159-180

   4. Type-2 Fuzzy Logic Controllers: A Way Forward for Fuzzy Systems in Real World Environments

      • Hani Hagras

      Pages 181-200

4. Computational Evolution

   1. The Burden of Proof: Part II

      • David B. Fogel

      Pages 201-231

   2. Evolution of Altruistic Robots

      • Dario Floreano, Sara Mitri, Andres Perez-Uribe, Laurent Keller

      Pages 232-248

   3. Simulated Evolution under Multiple Criteria Conditions Revisited

      • Günter Rudolph, Hans-Paul Schwefel

      Pages 249-261

   4. Handling Uncertainties in Evolutionary Multi-Objective Optimization

      • Kay Chen Tan, Chi Keong Goh

      Pages 262-292

5. Applications

   1. VCV2 – Visual Cluster Validity

      • Jacalyn M. Huband, James C. Bezdek

      Pages 293-308

   2. Data Management by Self-Organizing Maps

      • Teuvo Kohonen

      Pages 309-332

   3. Cocktail Party Processing

      • DeLiang Wang, Guoning Hu

      Pages 333-348

   4. Similarities in Fuzzy Data Mining: From a Cognitive View to Real-World Applications

      • Bernadette Bouchon-Meunier, Maria Rifqi, Marie-Jeanne Lesot

      Pages 349-367

   5. Attaining Fault Tolerance through Self-adaption: The Strengths and Weaknesses of Evolvable Hardware Approaches

      • Garrison W. Greenwood

      Pages 368-387

6. Back Matter

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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.

• computational intelligence
• evolution
• evolutionary computation
• fuzzy
• fuzzy system
• fuzzy systems
• intelligence
• learning
• machine learning
• modeling

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