Robotics, signal processing, decision making and self-reproducing machine learning

In 2005, inspired by Von Neumannpsilas self-reproducing automata, the author had introduced self-reproducing machine learning (SRML). In this article the author is trying to explore the nature of self-reproducing machine learning, SRML architectures, formal structures, mathematical structures and its integrated systems software engineering principles. The author will demonstrate SRML technology to robotics, image processing, signal processing, Web mining and social sciences decision management and so on as its applications. These applications disclose the power of SRMLpsilas model, principles, theory, and methodology as machine learning and data mining technology.