Preface
With conventional deep learning methods almost hitting a wall in terms of their capability, more and more researchers have started looking for alternative approaches to train artificial neural networks.
Deep machine learning is extremely effective for pattern recognition, but fails in tasks that require an understanding of context or previously unseen data. Many researchers, including Geoff Hinton, the father of the modern incarnation of deep machine learning, agree that the current approach to designing artificial intelligence systems is no longer able to cope with the challenges currently being faced.
In this book, we discuss a viable alternative to traditional deep machine learning methods—neuroevolution algorithms. Neuroevolution ...
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