Induction Learning Based on Specific Objects
Haoran Wang, Tianming Gui, Qinzhou Niu · 2021
This paper proposes a new induction learning method based on the specific object, which allows the learning of the specific object in answer set programming (ASP), which is helpful to the research of inductive logic learning. The framework is composed of background knowledge , learning object (OBJECT), hypothesis space (Sm) and hypothesis (H). This kind of programming method which obtains hypothesis through background knowledge learning is called inductive logic programming.