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Chapter and Conference Paper
Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny
Echo State Networks (ESN) have demonstrated their efficiency in supervised learning of time series: a ”reservoir” of neurons provide a set of dynamical systems that can be linearly combined to match the target...
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Chapter and Conference Paper
Blindbuilder: A New Encoding to Evolve Lego-Like Structures
This paper introduces a new representation for assemblies of small Lego®-like elements: structures are indirectly encoded as construction plans. This representation shows some interesting properties such as hiera...