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[Stanford University / University of British Columbia] Теория Игр 2 / Game Theory II [2013, Economics, Computer Science, WEBRip 720p, ENG] (Видеоурок)

Сообщение Stepan » 07 апр 2018, 23:48

Теория Игр 2 / Game Theory II
Страна: USA/Canada
Тематика: Economics, Computer Science
Тип раздаваемого материала: Видеоурок
Продолжительность: 4 weeks
Год выпуска: 2013
Язык: Английский
Перевод: Отсутствует
Описание: Теория игр — математический метод изучения оптимальных стратегий в играх. Под игрой понимается процесс, в котором участвуют две и более сторон, ведущих борьбу за реализацию своих интересов. Каждая из сторон имеет свою цель и использует некоторую стратегию, которая может вести к выигрышу или проигрышу — в зависимости от поведения других игроков.
Our 4-week advanced course considers how to design interactions between agents in order to achieve good social outcomes. The course -- which is free and open to the public -- considers three main topics: social choice theory (i.e., collective decision making), mechanism design, and auctions. More specifically, 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.
This course is a follow-up to a more basic course in which we provided the foundations to game theory, covering topics such as representing games and strategies, the extensive form, Bayesian games, repeated and stochastic games, and more. Although to a substantial extent our new course stands alone, some of the previous material -- e.g., Bayesian games, Nash equilibrium, and dominant strategies -- is needed for this more advanced course, whether picked up through our previous course or elsewhere.
Instructors: Matthew Jackson, Kevin Leyton-Brown, Yoav Shoham
Доп. информация:
Unit 1 - Social Choice
Unit 2 - Mechanism Design
Unit 3 - Efficient Mechanisms
Unit 4 - Auctions
Качество: WEBRip 720p
Формат: MP4
Видео: AVC, 1280x720, 29.97 fps, 991 Kbps
Аудио: AAC, 44.1 kHz, 1 ch, 144 Kbps
General
Complete name : Stanford - Game Theory II (2013)\week1 lectures\8-2 Social Choice- Voting Schemes.mp4
Format : MPEG-4
Format profile : Base Media / Version 2
Codec ID : mp42
File size : 127 MiB
Duration : 15mn 35s
Overall bit rate mode : Variable
Overall bit rate : 1 138 Kbps
Encoded date : UTC 2013-05-09 16:25:45
Tagged date : UTC 2013-05-09 16:25:45
gsst : 0
gstd : 935856
gssd : BADC23E04HH1370234621605057
gshh : r13---sn-4g57knek.c.youtube.com
Video
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Format : AVC
Format/Info : Advanced Video Codec
Format profile : High@L3.1
Format settings, CABAC : Yes
Format settings, ReFrames : 1 frame
Format settings, GOP : M=1, N=60
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 15mn 35s
Bit rate : 991 Kbps
Maximum bit rate : 2 371 Kbps
Width : 1 280 pixels
Height : 720 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 fps
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.036
Stream size : 111 MiB (87%)
Tagged date : UTC 2013-05-09 16:26:11
Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 15mn 35s
Bit rate mode : Variable
Bit rate : 144 Kbps
Maximum bit rate : 151 Kbps
Channel(s) : 1 channel
Channel positions : Front: C
Sampling rate : 44.1 KHz
Compression mode : Lossy
Stream size : 16.1 MiB (13%)
Title : IsoMedia File Produced by Google, 5-11-2011
Encoded date : UTC 2013-05-09 16:25:59
Tagged date : UTC 2013-05-09 16:26:11
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Автор: Stepan
Добавлен: 07 апр 2018, 23:48
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