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Reading digest - A Robotic Framework for Semantic Concept Learning

 梦里落叶 2010-10-22
Goal: To produce a robot that will learn to understand and carry out simple tasks in response to natural language requests.

Beliefs:
1. Human intelligence, and hence language, is primarily semantic.
2. The mind forms semantic concepts through the correlation of events and cues close together in time and/or space.
3. An integrated sensory-motor system is necessary to ground these concepts and allow the mind to form a semantic representation of reality—there is no such thing as a disembodied mind.

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