Coursera: Game Theory II - Advanced Applications (2016)
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
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, 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.
first part: Coursera - Game Theory
also You can watch my other last: Coursera-posts
General
Unique ID : 312133001891923129075304198099966913762 (0xEAD2A126BFC051EEF40D1841D5CC6CE2)
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
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Video
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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
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Language : English
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Audio
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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
Unique ID : 312133001891923129075304198099966913762 (0xEAD2A126BFC051EEF40D1841D5CC6CE2)
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/(Pixel*Frame) : 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
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Coursera: Game Theory II - Advanced Applications (2016)
Coursera: Game Theory II - Advanced Applications (2016)
Coursera: Game Theory II - Advanced Applications (2016)
Coursera: Game Theory II - Advanced Applications (2016)
Coursera: Game Theory II - Advanced Applications (2016)
Coursera: Game Theory II - Advanced Applications (2016)
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Coursera: Game Theory II - Advanced Applications (2016)
