The role of nonlinear operators in the structure of natural and artificial intelligence

Nonlinear operators play a central role in the implementation of functions that characterize natural and artificial intelligence. They are also responsible for providing learning and evolutionary capabilities to intelligent systems, i.e., to systems that implement those functions. In the present work, these issues are discussed in the context of neural networks recently proposed by the author, namely, the optimal interpolative net and the optimal multilayer neural interpolating net.<>