Game Theory

开始时间: 08/29/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 数学

大学或机构: CourseraNew

   

课程主页: https://www.coursera.org/learn/game-theory-1

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Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications. You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html There is also an advanced follow-up course to this one, for people already familiar with game theory: https://www.coursera.org/learn/gametheory2/ You can find an introductory video here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4

博弈论:博弈论是理性(和非理性)主体之间战略互动的数学模型,在诸如“美丽心灵”之类的电影中得到普及。除了我们所谓的“游戏”(如国际象棋,扑克,足球等)外,它还包括国家间冲突,政治运动,企业间竞争以及纽约证券交易所等市场交易行为的建模。在不考虑使用它们的人们的激励因素的情况下,如何开始对关键字拍卖和对等文件共享网络进行建模?该课程将提供基础知识:代表游戏和策略,广泛的形式(计算机科学家称之为游戏树),贝叶斯游戏(为拍卖之类的事物建模),重复和随机游戏等。我们将提供各种示例,包括经典游戏和一些应用程序。 您可以在这里找到完整的课程提纲和课程说明:http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html 对于已经熟悉博弈论的人们,此课程还有一门高级后续课程:https://www.coursera.org/learn/gametheory2/ 您可以在此处找到介绍性视频:http://web.stanford.edu/~jacksonm/Intro_Networks.mp4

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课程简介

This course is aimed at students, researchers, and practitioners who wish to understand more about strategic interactions. You must be comfortable with mathematical thinking and rigorous arguments. Relatively little specific math is required; but you should be familiar with basic probability theory (for example, you should know what a conditional probability is), and some very light calculus would be helpful.

课程标签

博弈论 博弈 纳什均衡 纳什 数学 计算广告学 数学思维 数学模型

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