Spatial prepositions and vague quantifiers: implementing the functional geometric framework

  • Authors:
  • Kenny R. Coventry;Angelo Cangelosi;Rohanna Rajapakse;Alison Bacon;Stephen Newstead;Dan Joyce;Lynn V. Richards

  • Affiliations:
  • Centre for Thinking and Language, School of Psychology, University of Plymouth, Plymouth, United Kingdom;Adaptive Behaviour & Cognition Research Group, School of Computing Comms & Electronics, University of Plymouth, Plymouth, United Kingdom;Adaptive Behaviour & Cognition Research Group, School of Computing Comms & Electronics, University of Plymouth, Plymouth, United Kingdom;Centre for Thinking and Language, School of Psychology, University of Plymouth, Plymouth, United Kingdom;Centre for Thinking and Language, School of Psychology, University of Plymouth, Plymouth, United Kingdom;Institute of Cognitive Neuroscience, University College London, United Kingdom;Centre for Thinking and Language, School of Psychology, University of Plymouth, Plymouth, United Kingdom

  • Venue:
  • SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
  • Year:
  • 2004

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Abstract

There is much empirical evidence showing that factors other than the relative positions of objects in Euclidean space are important in the comprehension of a wide range of spatial prepositions in English and other languages. We first the overview the functional geometric framework [11] which puts “what” and “where” information together to underpin the situation specific meaning of spatial terms. We then outline an implementation of this framework. The computational model for the processing of visual scenes and the identification of the appropriate spatial preposition consists of three main modules: (1) Vision Processing, (2) Elman Network, (3) Dual-Route Network. Mirroring data from experiments with human participants, we show that the model is both able to predict what will happen to objects in a scene, and use these judgements to influence the appropriateness of over/under/above/below to describe where objects are located in the scene. Extensions of the model to other prepositions and quantifiers are discussed.