A Dynamical Basis for the Semantic Content of Verbs

Paul R. Cohen and Tim Oates

Much of what we know and say refers to the dynamics of our world. We have a large class of linguistic objects -- verbs -- devoted entirely to expressing dynamics. In this paper we present a dynamical representation sufficiently general and expressive to capture both the meaning of individual verbs and the more abstract commonality of sets of semantically related verbs. Our purpose is to develop a complete theory of language acquisition that can be implemented on a physical platform, such as a mobile robot. The representation of the semantics of a word or set of words is constructed incrementally based on what is happening in the agent’s environment when the word or a member of the set of words is heard.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.