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, by Steve Tadelis
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Product details
File Size: 7597 KB
Print Length: 416 pages
Publisher: Princeton University Press (January 10, 2013)
Publication Date: January 10, 2013
Language: English
ASIN: B00AYL194G
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This book corresponds to material from the introductory course on game theory I took at Stanford from Steve Tadelis. One of the problems in game theory is that there are not good textbooks for college students/undergrads. Either the texts are more suitable for general audiences (I personally love "Thinking Strategically" and "The Art of Strategy" as supplemental reading but not as replacement textbooks), or they are way too technical and more suited for graduate work (like Fudenberg and Tirole's "Game Theory"). This book is a rare treat: it is precise mathematical treatment of game theory that is also fun to read. I'd recommend the reader be familiar with formal math proofs as well as have taking a course in probability theory (to understand Bayes Rule and expectation theory). I read the book from cover to cover and it reminded me why I enjoyed game theory so much. This is the text I'd recommend for anyone that wants to learn game theory in a rigorous fashion.
There are many books about game theory on the markets, some are too difficult and have too many pages, and some are too easy or have too few pages. This book lies in the middle.This book is well-structured in that it consists of 18 chapters and each chapter contains about 15-20 pages. Since each semester consists of about 18 weeks and a course typically takes 3 hours per week, this makes it suitable as a textbook.The context of this book is constructive since it first provides a big picture of the to-be-discussed topic and then uses interesting examples to concretize the solution concepts and equilibria of games.However, I think this book could be improved by the following ways. (i) This book typically provides examples after introducing a proposition or principle. Hence I hope the author can add at least one example to illustrate the one-stage deviation principle (introduced in Section 9.5) and Mechanism Design (Chapter 14) in more detail. (ii) Some mathematical notations are not intuitive enough and are difficult to comprehend, including information sets and Bayesian Nash equilibrium. Some sentences are too long and somewhat difficult to parse especially for the readers whose native language is not English. (iii) I hope that in the second edition of this book, the author can add some very important topics which are missing in this book, including evolutionary games and coalition games.
This book expects the reader to understand derivatives, integrals, and probability distributions. If you've learned about those topics and you want to learn about game theory, then this book is perfect. It gives plenty of thorough mathematical examples alongside detailed yet concise analogous written descriptions. Some concepts are described with set theory, but the author is careful to explain what each symbol means to unfamiliar readers. I think that this book is informative and well written, and I'm fairly picky about what I complement.
The mechanism design part in this book is a bit light. The repeated games part is pretty nice, but it's missing repeated games w/ imperfect information as well as self-generation for both perfect/public monitoring. Other than those two blips this book covers basically everything that a 1st year PHD game theory course will cover. The book walks the balance between math and intuition. This is a very clear and concise book. Hopefully the author expands it to cover more topics!
I was 'recommended' (not required) to purchase this book for a grad-level Game Theory class. I'm so glad I did!Our class textbook is a little too complex and it's easy to miss the bigger picture, but in this book by Tadelis, the concepts are thoroughly explained for the novice reader AND it has the details which provide the necessary depth to understand the topics. I like the examples, the manner of writing (on your level, not above or at you), and it's made understanding Game Theory much more practical. Overall, I highly recommend this book for a student (or an intellectually curious learner) to help understand the complexity (and fun) that is Game Theory.
It formalizes logic that can be used in games. I would imagine it may be a difficult read if the reader doesn't have a foundation in mathematics and probability.If the reader does have a mathematical background, then they will appreciate the author's treatment of the subject area.
Steve Tadelis's "Game Theory" is an amazing textbook that combines accessibility and rigor with many nice applications. It is ideal for advanced undergraduate and beginning graduate students. This book is an excellent first step before venturing into an advanced book like Fudenberg and Tirole (Game Theory).
excellent
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