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Advances in Computational Intelligence

IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures

  • Jing Liu
  • Cesare Alippi
  • Bernadette Bouchon-Meunier
  • Garrison W. Greenwood
  • Hussein A. Abbass
Book WCCI 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7311)

Table of contents

  1. Front Matter
    PDF
  2. Lazy Meta-Learning: Creating Customized Model Ensembles on Demand
    Piero P. Bonissone
    Pages 1-23
  3. Multiagent Learning through Neuroevolution
    Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal et al.
    Pages 24-46
  4. Reverse-Engineering the Human Auditory Pathway
    Lloyd Watts
    Pages 47-59
  5. Unpacking and Understanding Evolutionary Algorithms
    Xin Yao
    Pages 60-76
  6. Representation in Evolutionary Computation
    Daniel Ashlock, Cameron McGuinness, Wendy Ashlock
    Pages 77-97
  7. Quo Vadis, Evolutionary Computation?
    Zbigniew Michalewicz
    Pages 98-121
  8. Probabilistic Graphical Approaches for Learning, Modeling, and Sampling in Evolutionary Multi-objective Optimization
    Vui Ann Shim, Kay Chen Tan
    Pages 122-144
  9. The Quest for Transitivity, a Showcase of Fuzzy Relational Calculus
    Bernard De Baets
    Pages 145-165
  10. Cognition-Inspired Fuzzy Modelling
    Maria Rifqi
    Pages 166-184
  11. A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to Brain-Machine Cooperative Control
    Kazuo Tanaka
    Pages 185-208
  12. Predictive Learning, Knowledge Discovery and Philosophy of Science
    Vladimir Cherkassky
    Pages 209-233
  13. Evolving Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition
    Nikola Kasabov
    Pages 234-260
  14. Uncovering the Neural Code Using a Rat Model during a Learning Control Task
    Chenhui Yang, Hongwei Mao, Yuan Yuan, Bing Cheng, Jennie Si
    Pages 261-279
  15. Back Matter
    PDF

About this book

Introduction

This state-of-the-art survey offers a renewed and refreshing focus on the progress in evolutionary computation, in neural networks, and in fuzzy systems. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in these areas. The result is a balanced contribution to the research area 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 13 selected chapters originate from lectures and presentations given at the IEEE World Congress on Computational Intelligence, WCCI 2012, held in Brisbane, Australia, in June 2012.

Keywords

attractive learning data mining evolutionary computation knowledge discovery neuroinformatics

Editors and affiliations

  • Jing Liu
    • 1
  • Cesare Alippi
    • 2
  • Bernadette Bouchon-Meunier
    • 3
  • Garrison W. Greenwood
    • 4
  • Hussein A. Abbass
    • 5
  1. 1.Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of ChinaXidian UniversityXi’anChina
  2. 2.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilanoItaly
  3. 3.Université Pierre et Marie Curie - Paris 6, LIP6ParisFrance
  4. 4.Department of Electrical & Computer EngineeringPortland State UniversityPortlandUSA
  5. 5.School of Engineering and Information TechnologyUniversity of New South WalesCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-30687-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-642-30686-0
  • Online ISBN 978-3-642-30687-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site