Learning to Transfer Knowledge between Reference Systems

May 2000

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2000)

Volume

Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2000)

All Papers

Representation and inference of spatial knowledge play a fundamental role in spatial reasoning, which itself is an important component of many applications such as Geographic Information Systems or robotics. This paper discusses how an existing relation between speaker-relative and absolute spatial reference systems can be automatically learned by an inductive relational machine learning system.