Information processing apparatus and method, and program for...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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Reexamination Certificate

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07814037

ABSTRACT:
An information processing apparatus including a learning unit that learns a predetermined time-series pattern. An output unit outputs a time-series pattern corresponding to the result of learning by the learning unit. An adjusting unit supplied with a time-series pattern obtained from an action by an action unit on the basis of a time-series pattern supplied from the output unit and external teaching for the action adjusts a time-series pattern supplied from the output unit correspondingly to the input time-series pattern. The learning unit learns the time-series pattern supplied from the output unit and adjusted by the adjusting unit.

REFERENCES:
patent: 5255096 (1993-10-01), Boyle
patent: 02160487 (1990-06-01), None
Tani, J. and Ito, M. “Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment” IEEE Trans. on Systems, Man, and Cybernetics Part A: Systems and Humans, vol. 33, No. 4, pp. 481-488, 2003.
Atkeson, C and Schaal, S. “Robot Learning From Demonstration”, ICML 97.
Tani, J. and Ito, M. “Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment” IEEE Trans. on SMC Part A: Systems and Humans, vol. 33, No. 4, pp. 481-488, 2003.

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