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人工知能学会研究会資料 SIG-AGI-009-04

General AI Challenge

に参加して

Experience on General AI Challenge

片山 晋

1

Susumu Katayama

1

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宮崎大学

1

University of Miyazaki

Abstract: The speaker is developing AGI agents based on the assumption that mature AGI can

be achieved by the combination of “the most general AI apart from the efficiency” for generality and “incremental learning” for learning to specialize for efficiency. He applied his AGI agent to Round 1 of General AI Challenge held in 2017, and received the joint 2nd place of the qualitative prize. In this talk, he will explain how to implement the AGI agent, the devices and difficulties when applying it to the Challenge Round 1, and some thought on the General AI Challenge series.

連絡先: 宮崎大学工学教育研究部

       〒 889-2192 宮崎県宮崎市学園木花台西 1-1        E-mail: [email protected]

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