Learning to Transfer Knowledge between Reference Systems

Maria do Carmo Nicoletti and Jane Brennan, The University of New South Wales, Australia

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.

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