Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.
Read instantly on your browser with Kindle for Web.
Using your mobile phone camera - scan the code below and download the Kindle app.
Follow the author
OK
Twenty Lectures on Algorithmic Game Theory
Purchase options and add-ons
- ISBN-10131662479X
- ISBN-13978-1316624791
- Edition1st
- PublisherCambridge University Press
- Publication dateAugust 31, 2016
- LanguageEnglish
- Dimensions6 x 0.81 x 9 inches
- Print length352 pages
![]() |
Frequently bought together

Customers who viewed this item also viewed
- Algorithmic Game TheoryHardcoverFREE Shipping by AmazonGet it as soon as Tuesday, Jul 28Only 5 left in stock (more on the way).
- Multiagent Systems: Algorithmic, Game-Theoretic, and Logical FoundationsHardcoverFREE Shipping by AmazonGet it as soon as Tuesday, Jul 28
- Multi-Agent Reinforcement Learning: Foundations and Modern ApproachesHardcoverFREE Shipping by AmazonGet it as soon as Tuesday, Jul 28
- Game Theory: An IntroductionHardcoverFREE Shipping by AmazonGet it as soon as Tuesday, Jul 28Only 12 left in stock (more on the way).
- A Course in Game Theory (Mit Press)PaperbackFREE Shipping by AmazonGet it as soon as Tuesday, Jul 28
Customers also bought or read
- Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Hardcover$55.06$55.06FREE delivery Tue, Jul 28 - Limited-Dependent and Qualitative Variables in Econometrics (Econometric Society Monographs, Series Number 3)
Paperback$68.00$68.00FREE delivery Tue, Jul 28 - Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)
Hardcover$80.11$80.11FREE delivery Aug 13 - 22 - The Laws of Thought: The Quest for a Mathematical Theory of the Mind
Hardcover$26.20$26.20Delivery Tue, Jul 28 - The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Hardcover$60.16$60.16FREE delivery Tue, Jul 28 - The Art of Strategy: A Game Theorist's Guide to Success in Business and Life#1 Best SellerGame Theory
Paperback$12.09$12.09Delivery Tue, Jul 28 - High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
Hardcover$82.74$82.74FREE delivery Wed, Jul 29 - A Course in Functional Analysis (Graduate Texts in Mathematics, 96)
Hardcover$42.25$42.25FREE delivery Tue, Jul 28 - Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 3)
Paperback$75.25$75.25FREE delivery Tue, Jul 28 - Algorithms to Live By: The Computer Science of Human Decisions#1 Best SellerComputer Science
Paperback$9.12$9.12Delivery Tue, Jul 28 - Grokking Algorithms, Second Edition: An illustrated guide for programmers and other curious people
Paperback$43.99$43.99FREE delivery Tue, Jul 28 - Linear Algebra Done Right (Undergraduate Texts in Mathematics)
Hardcover$34.45$34.45Delivery Wed, Jul 29 - Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
Hardcover$130.28$130.28FREE delivery Aug 3 - 6 - Learning Theory from First Principles (Adaptive Computation and Machine Learning series)
Hardcover$80.00$80.00FREE delivery Tue, Jul 28 - Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Paperback$40.00$40.00FREE delivery Tue, Jul 28
Editorial Reviews
Review
Book Description
About the Author
Product details
- Publisher : Cambridge University Press
- Publication date : August 31, 2016
- Edition : 1st
- Language : English
- Print length : 352 pages
- ISBN-10 : 131662479X
- ISBN-13 : 978-1316624791
- Item Weight : 1.12 pounds
- Dimensions : 6 x 0.81 x 9 inches
- Best Sellers Rank: #354,519 in Books (See Top 100 in Books)
- #58 in Game Theory (Books)
- #1,289 in Mathematics (Books)
- #2,138 in Computer Science (Books)
- Customer Reviews:
About the author

Tim Roughgarden is a Professor of Computer Science at Columbia University. Prior to joining Columbia, he spent 15 years on the computer science faculty at Stanford, following a PhD at Cornell and a postdoc at UC Berkeley. His research interests include the many connections between computer science and economics, as well as the design, analysis, applications, and limitations of algorithms. For his research, he has been awarded the ACM Grace Murray Hopper Award, the Presidential Early Career Award for Scientists and Engineers (PECASE), the Kalai Prize in Computer Science and Game Theory, the Social Choice and Welfare Prize, the Mathematical Programming Society's Tucker Prize, and the EATCS-SIGACT Gödel Prize. He was an invited speaker at the 2006 International Congress of Mathematicians, the Shapley Lecturer at the 2008 World Congress of the Game Theory Society, and a Guggenheim Fellow in 2017. His books include Twenty Lectures on Algorithmic Game Theory (2016) and the Algorithms Illuminated book series (2017-2019).





























