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Growing Adaptive Machines

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Cover of 'Growing Adaptive Machines'

Table of Contents

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    Book Overview
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    Chapter 1 Growing Adaptive Machines
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    Chapter 2 A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience
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    Chapter 3 Evolving Culture Versus Local Minima
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    Chapter 4 Learning Sparse Features with an Auto-Associator
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    Chapter 5 HyperNEAT: The First Five Years
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    Chapter 6 Using the Genetic Regulatory Evolving Artificial Networks (GReaNs) Platform for Signal Processing, Animat Control, and Artificial Multicellular Development
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    Chapter 7 Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization
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    Chapter 8 Neuro-Centric and Holocentric Approaches to the Evolution of Developmental Neural Networks
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    Chapter 9 Artificial Evolution of Plastic Neural Networks: A Few Key Concepts
Attention for Chapter 4: Learning Sparse Features with an Auto-Associator
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