課程概述與目標：
Algorithmic game theory and learning sprouts as an active interdisciplinary field integrating computer science and economics. While its impacting contributions, namely, the efficiency of equilibria and complexity of computing equilibria are more on the measurement and analysis side of equilibria, treating equilibria as an engineerable aggregated choice, “algorithmic mechanism design and social choice” which is more on the engineering side also develops promisingly in parallel and produces lots of interesting and well-unknown results. Based on the classical results in mechanism design and social choice in economics, our goals are introducing various mechanism design questions and topics from computational and algorithmic perspectives, complementary to algorithmic game theory and learning.
金額：21,000元
