| Presentation | 2004/10/11 Dynamical Systems Approach to Understand Embodied Cognition A Robotics Synthetic Approach Jun TANI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The current paper reviews our ideas of dynamical systems approach to study the problems of symbol grounding and compositionality in embodied cognitive systems. Our scheme of using a dynamic neural network model called RNNPB is introduced in which its applications to organization of behavior primitives, segmentation and chunking in sensory-motor flow and co-learning of simple language and behavior are examined. These robotics experiments demonstrate that the RNNPB could organize certain combinatorial mechanism, as an alternative of a symbol system, of which interface to physical bodies and environments is much more flexible and adaptive than the ones by the conventional symbol systems. |
| Keyword(in Japanese) | (See Japanese page) |
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| Paper # | NC2004-61 |
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| Committee | NC |
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| Conference Date | 2004/10/11(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Dynamical Systems Approach to Understand Embodied Cognition A Robotics Synthetic Approach |
| Sub Title (in English) | |
| Keyword(1) | |
| 1st Author's Name | Jun TANI |
| 1st Author's Affiliation | Brain Science Institute() |
| Date | 2004/10/11 |
| Paper # | NC2004-61 |
| Volume (vol) | vol.104 |
| Number (no) | 348 |
| Page | pp.pp.- |
| #Pages | 4 |
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