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Advances in Computational Intelligence

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Cover of 'Advances in Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Lazy Meta-Learning: Creating Customized Model Ensembles on Demand
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    Chapter 2 Multiagent Learning through Neuroevolution
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    Chapter 3 Reverse-Engineering the Human Auditory Pathway
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    Chapter 4 Unpacking and Understanding Evolutionary Algorithms
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    Chapter 5 Representation in Evolutionary Computation
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    Chapter 6 Quo Vadis, Evolutionary Computation?
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    Chapter 7 Probabilistic graphical approaches for learning, modeling, and sampling in evolutionary multi-objective optimization
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    Chapter 8 The Quest for Transitivity, a Showcase of Fuzzy Relational Calculus
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    Chapter 9 Cognition-Inspired Fuzzy Modelling
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    Chapter 10 A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to Brain-Machine Cooperative Control
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    Chapter 11 Predictive Learning, Knowledge Discovery and Philosophy of Science
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    Chapter 12 Evolving Spiking Neural Networks and Neurogenetic Systems for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition
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    Chapter 13 Uncovering the Neural Code Using a Rat Model during a Learning Control Task
Attention for Chapter 10: A Unified Fuzzy Model-Based Framework for Modeling and Control of Complex Systems: From Flying Vehicle Control to Brain-Machine Cooperative Control
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