Learning Spatial Relations Using an Inductive Logic Programming System

Abstract

The ability to learn spatial relations is a prerequisite for performing many relevant tasks such as those associated with motion, orientation, navigation, etc. This paper reports on using an Inductive Logic Programmming (ILP) system for learning function-free Horn-clause descriptions of spatial knowledge. Its main contribution, however, is to show that an existing relation between two reference systems --- the speaker-relative and the absolute --- can be automatically learned by an ILP system, given the proper background knowledge and positive examples.