Language and Spatial Cognition
Language and Spatial Cognition
Machine Learning
Language Games for Autonomous Robots
IEEE Intelligent Systems
Introduction to Information Retrieval
Introduction to Information Retrieval
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Unify and merge in fluid construction grammar
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Identifying objects on the basis of spatial contrast: an empirical study
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Least squares quantization in PCM
IEEE Transactions on Information Theory
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This paper studies how quantificational expressions such as few, three and all can be grounded in real-world perception. Based on findings from psycholinguistics, we propose a computational model designed for use in robot-robot interaction scenarios which involve discrimination tasks for objects in the real world. We test the performance of our model and contrast it with a type theory based model. We show that our design choices make our model more suitable for real-world applications.