15th European Conference on Artificial Intelligence
|July 21-26 2002 Lyon France
Grounded models differ from axiomatic theories in establishing explicit connections between language and reality that are learned through language games. This paper describes how grounded models are constructed by visually grounded autonomous agents playing different types of language games, and explains how they can be used for intuitive reasoning. It proposes a particular language game that can be used for simulating the generation of logical categories (such as negation, conjunction, disjunction, implication or equivalence), and describes some experiments in which a couple of visually grounded agents construct a grounded model that can be used for spatial reasoning.
Keywords: Cognitive Modelling, Machine Learning
Citation: Josefina Sierra-Santibanez: Grounded Models as a Basis for Intuitive and Deductive Reasoning: the Acquisition of Logical Categories. In F. van Harmelen (ed.): ECAI2002, Proceedings of the 15th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2002, pp.93-97.