演算式決策與學習專題

Algorithmic game theory and learning are active interdisciplinary research areas with contributions from theoretical computer science, economics, networking, artificial intelligence, operations research, and discrete mathematics. In this course, we aim to further look into the rich literature and most updated developments or progress by reviewing the papers from the top conferences and journals related to the areas, and expect students to form their own research proposals.

Algorithmic Decision and Learning, or Algorithmic Mechanism Design and Social Choice

無備註

Literature review: paper reading, presentation, and critique multiple times (60%) Research Proposal and presentation (40%)

Literature review: paper reading, presentation, and critique multiple times (60%) Research Proposal and presentation (40%)

• Price of Anarchy and Games

  其他：

  6

  備註：Literature review and discussion

• Information Cascading

  其他：

  3

  備註：Literature review and discussion

• Mechanism Design

  其他：

  6

  備註：Literature review and discussion

• Privacy in Mechanism Design

  其他：

  3

  備註：Literature review and discussion

• Altruism in Games and Mechanisms

  其他：

  9

  備註：Literature review and discussion

• Dynamics and Learning

  其他：

  18

  備註：Literature review and discussion

• Research proposal

  其他：

  6

Conference papers mainly from ACM Conference on Economics and Computation, Conference on Web and Internet Economics, International Conference on Autonomous Agents and Multiagent Systems, Symposium on Algorithmic Game Theory, Symposium on Theory of Computing, etc. 請使用正版教科書 請使用正版教科書 Journal papers mainly from Games and Economic Behavior, International Journal of Game Theory, ACM Transactions on Economics and Computation, etc.

地點

MB301

時間

每週下課後

聯絡方式

poanchen@nctu.edu.tw