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游戏研究

Game Studies

从桌游到 AI,用博弈论进行策略思考。

时段
下午
时长
3周,每周15小时
开课
6月、7月、8月
英语
Advanced(CEFR C1)
适合年龄
15–18岁
黄昏时的 St. George 校区。草坪对面是 University College

这是一门怎样的课?

本课程向学生介绍博弈论,这是计算机科学中的一个重要概念,能帮助机器和人做出明智的决策。学生将了解算法和人工智能如何运用策略来玩游戏、解决问题并适应不同的情境。

从桌游和简单的电子游戏入手,学生将探索玩家如何预判对手、相互合作或彼此竞争,以争取最佳结果。在此基础上,再把这些思路与经济学、生物学乃至社会政策等其他学科联系起来,展现博弈论的广泛应用。无需计算机科学背景,只需要好奇心,以及对策略和解决问题的兴趣。

课程通过讲授、文本阅读和参与式任务介绍各项概念,最终完成一个包含小规模项目的课程项目。

※ 大学注明本课程“内容可能有变动”。

适合以下学生

  • 打算升读大学,或对人工智能和游戏有浓厚兴趣
  • 编程刚入门或零基础
  • 希望实际运用英语,培养在大学课程中取得成功所需的学术能力
  • 享受富有挑战性的学习环境
阅读英文原文

This course introduces students to game theory, a key concept in computer science that helps machines and people make smart decisions. Students will see how algorithms and artificial intelligence use strategies to play games, solve problems, and adapt to different situations.

Starting with board games and simple video games, they will explore how players anticipate opponents, cooperate, or compete to achieve the best outcome. From there, they’ll connect these ideas to other academic subjects like economics, biology, and even social policy, showing the wide reach of game theory. No computer science background is needed—just curiosity and an interest in strategy and problem-solving.

This course introduces concepts through lectures, texts, and participation tasks that lead toward successful completion of a final course project involving a small-scale project.

This course is a good fit if:

  • You plan to pursue post-secondary education and/or have strong interest in artificial intelligence and gaming
  • You have beginner or no experience with coding language
  • You want to practice language and develop academic skills for success in university courses
  • You enjoy a challenging study environment

出处:University of Toronto International Programs

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