Twenty Lectures on Algorithmic Game Theory by Tim Roughgarden
Twenty Lectures on Algorithmic Game Theory by Tim Roughgarden Book Summary
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- About Tim Roughgarden
Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.
Twenty Lectures on Algorithmic Game Theory Book Details
| Book Name | Twenty Lectures on Algorithmic Game Theory |
| Genre | Computers |
| Author | Tim Roughgarden |
| Published | 31 August 2016, Wednesday |
| Price | $39.99 |
| E-Book Size | 4.31 MB |
Twenty Lectures on Algorithmic Game Theory by Tim Roughgarden Book Reviews
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5 Books like Twenty Lectures on Algorithmic Game Theory (Tim Roughgarden)
Timothy Avelin Roughgarden (born July 20, 1975) is an American computer scientist and a professor of Computer Science at Columbia University. Roughgarden's work deals primarily with game theoretic questions in computer science. Roughgarden received his Ph.D. from Cornell University in 2002, under the supervision of Éva Tardos. He did a postdoc at University of California, Berkeley in 2004. From 2004 to 2018, Roughgarden was a professor at the Computer Science department at Stanford University working on algorithms and game theory. Roughgarden teaches a four-part algorithms specialization on Coursera. He received the Danny Lewin award at STOC 2002 for the best student paper. He received the Presidential Early Career Award for Scientists and Engineers in 2007, the Grace Murray Hopper Award in 2009, and the Gödel Prize in 2012 for his work on routing traffic in large-scale communication networks to optimize performance of a congested network. He received a Guggenheim Fellowship in 2017....
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