Inverse learning based on extension logic

Based on extension logic, this paper presents a novel formalized learning method, inverse learning, which are uniquely suitable for dealing with incompatible problems. Firstly, inverse matter-elements are introduced, inverse extension of matter-elements is discussed, and inverse extension of transformations is analyzed. And then the calculation of inverse degree is studied. Finally, the inverse reasoning is explored and relevant inverse reasoning rules are given. The study shows that inverse learning can be developed using inverse extensions and inverse reasoning.