Coursera: Game Theory II - Advanced Applications (2016)

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Coursera: Game Theory II - Advanced Applications
WEBRip | English | MP4 | 960 x 540 | VP8 ~655 kbps | 25 fps
A_VORBIS | 128 Kbps | 48.0 KHz | 1 channel | ~4 hours | 1.34 GB
Genre: eLearning Video / Computer Science: Theory & Artificial Intelligence, Economics & Finance
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.

Content:
Week 1 - Social Choice
Week 2 - Mechanism Design
Week 3 - Efficient Mechanisms
Week 4 - 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, Arrows 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.

first part:

also You can watch my other last:

MediaInfo:


General
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Complete name Game Theory II Advanced Applications 0.1 1.2 Social Choice Voting Scheme (1536).mp4
Format WebM
Format version Version 2
File size 92.0 MiB
Duration 15mn 35s
Overall bit rate mode Variable
Overall bit rate 825 Kbps
Writing application Lavf55.10.100
Writing library Lavf55.10.100

Video
ID 1
Format VP8
Codec ID V_VP8
Duration 15mn 35s
Bit rate 655 Kbps
Width 960 pixels
Height 540 pixels
Display aspect ratio 16:9
Frame rate 25.000 fps
Compression mode Lossy
Bits/(PixelFrame) 0.051
Stream size 73.1 MiB (79%)
Language English
Default Yes
Forced No

Audio
ID 2
Format Vorbis
Format settings, Floor 1
Codec ID A_VORBIS
Duration 15mn 35s
Bit rate mode Variable
Bit rate 128 Kbps
Maximum bit rate 700 Kbps
Channel(s) 1 channel
Sampling rate 48.0 KHz
Compression mode Lossy
Delay relative to video -43ms
Stream size 14.3 MiB (16%)
Writing library libVorbis (Schaufenugget) (20101101 (Schaufenugget))
Language English
Default Yes
Forced No
Writing application Lavc55.17.100

Screenshots

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Tags: Coursera, Theory, Advanced, Applications

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