Intendierte Lernergebnisse
This is an introductory, graduate level course in algorithmic game theory aimed at students of computer science, business, and economics. The material is structured in three parts: the first part A) is an introduction to standard game theory, part B) introduces mechanism design, and part C) market design. The discussions in parts B & C comprise advanced topics at the interface of theoretical computer science and economics including auctions (mechanism design) and matching (market design), including questions of computational efficiency, complexity, robustness, and learning. Motivating examples include web search auctions, wireless spectrum auctions, secure network routing, the “price of anarchy,” IT risk management, and moving target defense.Course goal: ◮ The key concepts of (applied) game theory.◮ The classic problems of auction and market design.◮ The basic skills required to work on new problems in this field.
Lehrmethodik
The course introduces the basis for applied work at the intersection of computer science, economics, and business. Course participants will be encouraged to explore and present own research problems at the end of the course which will ideally evolve into the development of novel questions in the field (and related areas).
Inhalt/e
A. Game theory(a) Static games(b) Dynamic games(c) Games of incomplete informationB. Mechanism design(a) Single-object auctions(b) Efficiency vs optimality(c) Vickrey-Clarke-Groves mechanism(d) Level-k reasoningC. Market design(a) Matching problems(b) Multi-object auctions
Erwartete Vorkenntnisse
The content of the CBK1 & CBK2 modules is a strict prerequisite. It is beneficial to have bachelor-level knowledge of microeconomics.
Curriculare Anmeldevoraussetzungen
The successful completion of the CBK1 & CBK2 modules is a strict prerequisite. It is beneficial to simultaneously attend EC1: Microeconomics.
Literatur
Textbooks (required reading)Maschler, M., Solan, E., & Zamir, S. (2013) Game theory, 2nded, Cambridge, Mass: Cambridge University Press.Roughgarden, T. (2016) Twenty lectures on algorithmic game theory, Cambridge, UK: Cambridge University Press.