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This paper describes an implemented robotic agent architecture in which the environment, as sensed by the agent, is used to guide the recognition of spoken and gestural directives given by a human user. The agent recognizes these directives using a probabilistic language model that conditions probability estimates for possible directives on visually-,… (More)
AAMAS 05 Welcome Welcome to the printed from CD-rom version of the AAMAS 2005 Proceedings. This publication includes the volumes of the proceedings and industrial track publications.