Articles liés à Language and Learning for Robots
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Synopsis
Robot technology will find wide-scale use only when a robotic device can be given commands and taught new tasks in a natural language. How could a robot understand instructions expressed in English? How could a robot learn from instructions? Crangle and Suppes begin to answer these questions through a theoretical approach to language and learning for robots, and by experimental work with robots. The authors develop the notion of an instructable robot - one which derives its intelligence in part from interaction with humans. Since verbal interaction with a robot requires a natural language semantics, the authors propose a natural-model semantics which they then apply to the interpretation of robot commands. Two experimental projects are described which provide natural-language interfaces to robotic aids for the physically disabled.
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À propos de l?auteur
Patrick Suppes (1922-2014) was the Lucie Stern Professor of Philosophy, Emeritus at Stanford University. He was the founder of the Computer Curriculum Corporation and the Suppes Brain Lab at Stanford, as well as the co-founder of the Institute for Mathematical Studies in Social Sciences.
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