Coursera - Game Theory II - Advanced Applications
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Torrent File Content (29 files)
Coursera - Game Theory II - Advanced Applications
Week 1 - Social Choice
Game Theory II Advanced Applications 0.0 1.1 Social Choice Taste (324).mp4 -
Week 1 - Social Choice
Game Theory II Advanced Applications 0.0 1.1 Social Choice Taste (324).mp4 -
11.42 MB
Game Theory II Advanced Applications 0.1 1.2 Social Choice Voting Scheme (1536).mp4 -
92.01 MB
Game Theory II Advanced Applications 0.2 1.3 Paradoxical Outcomes (918).mp4 -
26.25 MB
Game Theory II Advanced Applications 0.3 1.4 Impossibility of Non-Paradoxical Social Welfare Functions (517).mp4 -
15.71 MB
Game Theory II Advanced Applications 0.4 1.5 Arrow's Theorem (3132).mp4 -
109.73 MB
Game Theory II Advanced Applications 0.5 1.6 Impossibility of Non-Pardoxical Social Choice Functions (704).mp4 -
22.19 MB
Game Theory II Advanced Applications 0.6 1.7 Single-Peaked Preferences (729).mp4 -
22.42 MB
Week 2 - Mechanism Design
Game Theory II Advanced Applications 1.0 2.1 Mechanism Design Taste (320).mp4 -
Game Theory II Advanced Applications 1.0 2.1 Mechanism Design Taste (320).mp4 -
11.9 MB
Game Theory II Advanced Applications 1.1 2.2 Implementation (1802).mp4 -
61.59 MB
Game Theory II Advanced Applications 1.2 2.3 Mechanism Design Examples.mp4 -
61.07 MB
Game Theory II Advanced Applications 1.3 2.4 Revelation Principle (924).mp4 -
35.66 MB
Game Theory II Advanced Applications 1.4 2.5 Revelation Principle Examples.mp4 -
27.45 MB
Game Theory II Advanced Applications 1.5 2.6 Impossibility of General Dominant-Strategy Implementation (1127).mp4 -
36.76 MB
Game Theory II Advanced Applications 1.6 2.7 Transferable Utility (907).mp4 -
50.51 MB
Game Theory II Advanced Applications 1.7 2.8 Transferable Utility Example.mp4 -
45.72 MB
Game Theory II Advanced Applications 1.8 2.9 Mechanism Design as an Optimization Problem (1904).mp4 -
68.62 MB
Week 3 - Efficient Mechanisms
Game Theory II Advanced Applications 2.0 3.1 VCG Taste (1021).mp4 -
Game Theory II Advanced Applications 2.0 3.1 VCG Taste (1021).mp4 -
43.66 MB
Game Theory II Advanced Applications 2.1 3.2 VCG Definitions (1822).mp4 -
58.07 MB
Game Theory II Advanced Applications 2.2 3.3 VCG Examples (713).mp4 -
35.63 MB
Game Theory II Advanced Applications 2.3 3.4 VCG Limitations (1123).mp4 -
41.82 MB
Game Theory II Advanced Applications 2.4 3.5 VCG Individual Rationality and Budget Balance in VCG (1610).mp4 -
58.21 MB
Game Theory II Advanced Applications 2.5 3.6 VCG The Myerson-Satterthwaite Theorem (1930).mp4 -
100.46 MB
Week 4 - Auctions
Game Theory II Advanced Applications 3.0 4.1 Auctions Taste (351).mp4 -
Game Theory II Advanced Applications 3.0 4.1 Auctions Taste (351).mp4 -
9.93 MB
Game Theory II Advanced Applications 3.1 4.2 Auctions Taxonomy (1427).mp4 -
33.39 MB
Game Theory II Advanced Applications 3.2 4.3 Bidding in Second-Price Auctions (647).mp4 -
23.19 MB
Game Theory II Advanced Applications 3.3 4.4 Bidding in First-Price Auctions (1306).mp4 -
39.8 MB
Game Theory II Advanced Applications 3.4 4.5 Revenue Equivalence (4005).mp4 -
137.54 MB
Game Theory II Advanced Applications 3.5 4.6 Optimal Auctions (2134).mp4 -
68.82 MB
Game Theory II Advanced Applications 3.6 4.7 More Advanced Auctions (1220).mp4 -
27.02 MB
Description
Game Theory II: Advanced Applications
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), mechanism design, and auctions.
About the Course
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), 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.
https://www.coursera.org/course/gametheory2
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