Back to Game Theory II: Advanced Applications

4.7

355 ratings

•

68 reviews

Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.
In the first week we consider the problem of aggregating different agents' preferences, discussing voting rules and the challenges faced in collective decision making. We present some of the most important theoretical results in the area: notably, Arrow's Theorem, which proves that there is no "perfect" voting system, and also the Gibbard-Satterthwaite and Muller-Satterthwaite Theorems. We move on to consider the problem of making collective decisions when agents are self interested and can strategically misreport their preferences. We explain "mechanism design" -- a broad framework for designing interactions between self-interested agents -- and give some key theoretical results. Our third week focuses on the problem of designing mechanisms to maximize aggregate happiness across agents, and presents the powerful family of Vickrey-Clarke-Groves mechanisms. The course wraps up with a fourth week that considers the problem of allocating scarce resources among self-interested agents, and that provides an introduction to auction theory.
You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-II-Syllabus.html
There is also a predecessor course to this one, for those who want to learn or remind themselves of the basic concepts of game theory: https://www.coursera.org/learn/game-theory-1
An intro video can be found here: http://web.stanford.edu/~jacksonm/Game-Theory-2-Intro.mp4...

By LV

•May 02, 2017

Very interesting! One missing thing: please write explanations for correct/incorrect questions in quizzes. In the basic course, I found them very helpful in understanding why my reasoning was wrong.

By AS

•Sep 11, 2016

Outstanding course on Game Theory. Provides excellent mathematical and logical treatment of the concepts and theory. A perfect stepping stone for researchers willing to pursue their research in Gam

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68 Reviews

By Jie He

•Apr 16, 2019

This course could be better in many ways. However, I really appreciate the efforts the professors made to put up so much information into this short course. It opens many new worlds for me in the universe of game theory, and in particular, the Arrow's theorem is so astonishing that it almost refreshed my thinking on the mechanisms of voting.

By Lucas Florençano de Castro Monteiro

•Mar 10, 2019

The professors are great!

I think the students would profit more if there were more exercises to track their learning.

I had some difficulties because sometimes it requires an advanced level in math which I don't have.

Eventhough, I could enjoy and acquire some valuable skills.

Thank you!

Sincerily,

Lucas M.

By 高瀚邦

•Mar 06, 2019

Maybe harder than I, but obviously, more useful.

By ZHU SHANJUN

•Jan 11, 2019

The lecture are useful and the lecturer clear in their content and delivery. However, it would be better if more practices with answers can be given, and the tutorial should include questions of greater difficulty, such as those with real game settings and rules to solve for optimum strategy.

By Ashish kumar

•Jan 10, 2019

Brilliant mind-teaser, helps you form skills that will lead to logical thinking in strategic interplays between everyday events and even the more complex one.

By Runyang Wang

•Jan 08, 2019

话题主要为高级微观中的机制设计，非常适合我这种转专业的同学

By Koa Yoshihara

•Jan 04, 2019

Great course, I was really overdue but am hoping to get a certificate if possible

By Mohammad Zarghami

•Sep 09, 2018

poorly explained lectures. you're better off reading a textbook

By Diogo Costa

•Jul 01, 2018

Better than the first course. The topics were less familiar to me, so it opened a few more doors.I still feel like the math was neglected, most of the time. I don't expect every derivation, but at least an acknowledgement of where the formulas come from if one wants to derive them himself.The graded quizzes should have provided an explanation of the correct answers, I think. Sometimes that explanation made everything clearer to me (when I got the correct by mistake or by simple elimination).I really appreciate the reading material! At least I can now follow the subject more in-depth if I want, so that's very welcome.Overall, still feels like a fairly light overview, but it's a good introduction to the subjects of mechanism design and auctions, I feel.

By Mariano Bernal Padró

•May 30, 2018

Excellent! i think it shall contain more realistic examples for mechanism development and auctions

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