Presentation | 2003/10/17 Proto-Symbol Development and Manipulation in the Geometry of Stochastic Model for Motion Generation and Recognition Tetsunari INAMURA, Hiroaki TANIE, Yoshihiko NAKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Humans' primitive skill of imitative learning is regarded as an origin of human intelligence because it is said that imitation is fundamental function for communication and symbol manipulation. He have proposed "mimesis model" in order to approach to a symbol emergence framework from behavior recognition/generation for humanoid robots. In this paper, we propose a mathematical model for motion recognition and generation as combination of basic motions by proto-symbol manipulation which is abstract expression of motion patterns. In order to describe the proto-symbol manipulation as geometric manipulation, construction of proto-symbol space and geometric proto-symbol manipulation method are established. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hidden Markov Model / Proto-Symbol / Symbol Emergence / Imitation Learning |
Paper # | PRMU2003-134,NC2003-65 |
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Committee | NC |
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Conference Date | 2003/10/17(1days) |
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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) | Proto-Symbol Development and Manipulation in the Geometry of Stochastic Model for Motion Generation and Recognition |
Sub Title (in English) | |
Keyword(1) | Hidden Markov Model |
Keyword(2) | Proto-Symbol |
Keyword(3) | Symbol Emergence |
Keyword(4) | Imitation Learning |
1st Author's Name | Tetsunari INAMURA |
1st Author's Affiliation | Graduate School of Information Science and Technology, Univ. of Tokyo() |
2nd Author's Name | Hiroaki TANIE |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Univ. of Tokyo |
3rd Author's Name | Yoshihiko NAKAMURA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Univ. of Tokyo |
Date | 2003/10/17 |
Paper # | PRMU2003-134,NC2003-65 |
Volume (vol) | vol.103 |
Number (no) | 392 |
Page | pp.pp.- |
#Pages | 6 |
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