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At present, artificial intelligence in the form of machine learning is makingimpressive progress, especially the field of deep learning (DL) [1]. Deeplearning algorithms have been inspired from the beginning by nature,specifically by the human brain, in spite of our incomplete knowledge about itsbrain function. Learning from nature is a two-way process as discussed in[2][3][4], computing is learning from neuroscience, while neuroscience isquickly adopting information processing models. The question is, what can theinspiration from computational nature at this stage of the developmentcontribute to deep learning and how much models and experiments in machinelearning can motivate, justify and lead research in neuroscience and cognitivescience and to practical applications of artificial intelligence.

Morphological Computation and Learning to Learn In Natural Intelligent Systems And AI