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Growing Adaptive Machines 2014

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  - series/sci/2014-557
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Taras Kowaliw, Nicolas Bredèche, René Doursat:
Growing Adaptive Machines - Combining Development and Learning in Artificial Neural Networks. Studies in Computational Intelligence 557, Springer 2014, ISBN 978-3-642-55336-3
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Taras Kowaliw, Nicolas Bredèche, Sylvain Chevallier, René Doursat:
Artificial Neurogenesis: An Introduction and Selective Review. 1-60
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  - series/sci/Trappenberg14
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Thomas Trappenberg:
A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience. 61-108
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Yoshua Bengio:
Evolving Culture Versus Local Minima. 109-138
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Sébastien Rebecchi, Hélène Paugam-Moisy, Michèle Sebag:
Learning Sparse Features with an Auto-Associator. 139-158
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David B. D'Ambrosio, Jason Gauci, Kenneth O. Stanley:
HyperNEAT: The First Five Years. 159-185
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  - series/sci/WrobelJ14
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Borys Wróbel, Michal Joachimczak:
Using the Genetic Regulatory Evolving Artificial Networks (GReaNs) Platform for Signal Processing, Animat Control, and Artificial Multicellular Development. 187-200
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  - series/sci/Bednar14
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James A. Bednar:
Constructing Complex Systems Via Activity-Driven Unsupervised Hebbian Self-Organization. 201-225
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  - series/sci/Miller14
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Julian F. Miller:
Neuro-Centric and Holocentric Approaches to the Evolution of Developmental Neural Networks. 227-249
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  - series/sci/MouretT14
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Jean-Baptiste Mouret, Paul Tonelli:
Artificial Evolution of Plastic Neural Networks: A Few Key Concepts. 251-261

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