VECTOR | [3-0-0:3] |
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DESCRIPTION | Game theory offers powerful insights into strategic decision-making, with promising applications in fields such as human-AI interaction, multi-agent systems, adversarial machine learning, and social networks. This course introduces the core concepts of game theory, focusing on the study of interactions among rational decision-makers. Students will explore foundational topics such as utility, Nash equilibrium, dominant strategies, mixed strategies, and both static and dynamic games. Through practical examples, the course will demonstrate how game theory is applied to optimize strategies in artificial intelligence, network systems, economics, and our daily life. By the end of the course, students will be equipped to analyze and model interactions, making it a vital tool for modern problem-solving in AI, data science, and beyond. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6075) | Tu 04:30PM - 07:20PM | Rm 201, E1 | DING, Ningning | 30 | 20 | 10 | 0 |