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2008

The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning

13 years 5 months ago
The Hybrid Integration of Perceptual Symbol Systems and Interactive Reinforcement Learning
In order to produce robots which can interact more effectively with humans we propose that it is necessary for their cognitive processes to be grounded in the same perceptual elements as humans deal with. Perceptual Symbol Systems offer an attractive mechanism for capturing the symbolic properties of the senses and for integrating them into higher level cognitive processes. We have designed a Perceptual Symbol System where the robot learns about objects through interaction and reinforcement and have carried out experiments to assess the merits of this approach. We show that the use of human perceptual elements combined with interactive reinforcement leads to intuitive learning and interpretable knowledge structures.
Michael John Knowles, Stefan Wermter
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where HIS
Authors Michael John Knowles, Stefan Wermter
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