About knowledge and inference in logical and relational learning

A gentle introduction to the use of knowledge, logic and inference in machine learning is given. It can be regarded as a reinterpretation and revisiting of Ryzard Michalskiâ s â A theory and methodology of inductive learningâ within the framework of logical and relational learning. At the same time some contemporary issues surrounding the integration of logical and probabilistic representations and reasoning are introduced.