Intelligence machine that autonomous form recognition concept by neuromodulators concentration field in the brain

• Project/Area Number: 23650067
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Intelligent informatics
• Research Institution: The University of Tokyo
• Principal Investigator: ICHIKAWA Yasumasa 東京大学, 情報理工学(系)研究科, 助教 (40134473)
• Project Period (FY): 2011-04-28 – 2015-03-31
• Project Status: Completed (Fiscal Year 2014)
• Budget Amount: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000); Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2011: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
• Keywords: 人工知能 / 神経修飾物質 / ニューラルネットワーク / セルオートマトン / 五感センサ / 前知能 / 認識主体 / 機械学習 / 認知 / CA / ニューロン / 脳内修飾物質 / 反射反応 / 双対構造 / 温感反応 / Artificial Intelligence / Cognition / Cell Automaton / Nyurotransmitter / 知能機械 / 認知科学 / 神経回路網 / ランダムウォーク / 知能構成論

Outline of Final Research Achievements

Human senses get the environment Information. The skeleton is extracted and stored by repeated reproduction of the information. The stored skeletons induced when a new external information contains the same pattern. In this study, the mechanism of the skeleton extract system was modeling and some of the methods of implementing this model to the robot were revealed. Also, the temperature sensor like the skin are developed and were patented. In addition, it presented the contents at the International Society (MEMS2014) and NEC Society (2013.8). In addition, it was posted to ”Sensors and Actuators”. This is being peer-reviewed at the moment.