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基本説明
Distributed for the Center for the Stuyd of Language and Information.
Full Description
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.
Contents
Part I. Theory: 1. Instructable robots; 2. Natural models for the interpretation of commands; 3. Context-fixing semantics and model structures; 4. Models for arithmetic instruction; Part II. Language Performance: 5. Verbal commands to a mobile robot; 6. Verbal commands to a robotic arm; 7. Saying 'stop' to a robot; 8. Extended models: geometric semantics; Part III. Learning: 9. Discourse on arithmetic instruction; 10. Robot learning from corrective instruction; 11. Learning natural language from robot task descriptions; Index.