 |
| Academic Degree: |
Ph.D |
| Field of Study: |
Control Theory |
| Lecture: |
STEM Practice (Bachelor Course), System Design and Experiment (Bachelor Course), Parallel and Distributed Processing Systems (Graduate School), Information Networks (Graduate School), Mathematical Programming (Bachelor Course), Graduate Seminar on Computer Science (Graduate School), Introduction to Computer Science (Bachelor Course), Linear System Analysis (Bachelor Course) |
| Subject of Study: |
Autonomous decentralized adaptive control (adaptive control, decentralized control) |
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| Academic Degree: |
Doctor of Engineering |
| Field of Study: |
Artificial Intelligence, Artificial Intelligence |
| Subject of Study: |
生物の進化適応に学ぶ工学システムの設計手法 (soft computing, machine learning, reinforcement learning, evolutionary learning, robot learning, autonomous agents, multi-agent systems, RoboCup, data mining, financial engineering), 生物の進化適応に学ぶ工学システムの設計手法 (soft computing, machine learning, reinforcement learning, evolutionary learning, robot learning, autonomous agents, multi-agent systems, RoboCup, data mining, financial engineering) |
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