| Ryszard S. Michalski was an outstanding scientist who dedicated his life to research and discovery. He pioneered so many areas and methods of machine learning that it is not possible to describe them properly in one chapter. Thus, we present a brief summary of what we believe are the most important aspects of his research, and present the vision of machine learning that he communicated to us on multiple occasions. The most important topics mentioned in this chapter are: natural induction, knowledge mining, AQ learning, conceptual clustering, VL1 and attributional calculus, constructive induction, the learnable evolution model, inductive databases, methods of plausible reasoning, and the inferential theory of learning. |