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

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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.
Lazy Meta-Learning: Creating Customized Model Ensembles on Demand
1(23)
Piero P. Bonissone
Multiagent Learning through Neuroevolution
24(23)
Risto Miikkulainen
Eliana Feasley
Leif Johnson
Igor Karpov
Padmini Rajagopalan
Aditya Rawal
Wesley Tansey
Reverse-Engineering the Human Auditory Pathway
47(13)
Lloyd Watts
Unpacking and Understanding Evolutionary Algorithms
60(17)
Xin Yao
Representation in Evolutionary Computation
77(21)
Daniel Ashlock
Cameron McGuinness
Wendy Ashlock
Quo Vadis, Evolutionary Computation? On a Growing Gap between Theory and Practice
98(24)
Zbigniew Michalewicz
Probabilistic Graphical Approaches for Learning, Modeling, and Sampling in Evolutionary Multi-objective Optimization
122(23)
Vui Ann Shim
Kay Chen Tan
The Quest for Transitivity, a Showcase of Fuzzy Relational Calculus
145(21)
Bernard De Baets
Cognition-Inspired Fuzzy Modelling
166(19)
Maria Rifqi
A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to Brain-Machine Cooperative Control
185(24)
Kazuo Tanaka
Predictive Learning, Knowledge Discovery and Philosophy of Science
209(25)
Vladimir Cherkassky
Evolving Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spoetro- Temporal Data Modelling and Pattern Recognition
234(27)
Nikola Kasabor
Uncovering the Neural Code Using a Rat Model during a Learning Control Task
261(20)
Chenhui Yang
Hongwei Mao
Yuan Yuan
Bing Cheng
Jennie Si
Author Index 281