Download Ebook Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Download Ebook Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)
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Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Download Ebook Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)
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Review
“…this is a book with a concise, clear, and organized introduction to the main concepts of game theory. For the ambitious reader, the book often discusses current scientific research. In other words, it is a gentle introduction, covering the basics of game theory to the current state of the art, in easy-to-read and understandable language.” – Carlos Linares Lopez for ACM Computing Reviews
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Product details
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning (Book 3)
Paperback: 104 pages
Publisher: Morgan and Claypool Publishers; 1 edition (June 27, 2008)
Language: English
ISBN-10: 1598295934
ISBN-13: 978-1598295931
Product Dimensions:
7.5 x 0.2 x 9.2 inches
Shipping Weight: 8.2 ounces (View shipping rates and policies)
Average Customer Review:
3.4 out of 5 stars
17 customer reviews
Amazon Best Sellers Rank:
#929,450 in Books (See Top 100 in Books)
This book was a disappointment. I purchased it because I've read some of the more advanced work by one of the authors and thought this would be a good review. But I didn't learn anything and there are much better introductions to game theory that I would go back to to review what I do know. Also, I purchased the Kindle version and there seemed to be something screwy with the way some of the formulas are displayed. I understood what they meant because I already know but -- and I looked at them a lot -- I could never quite make sense of many of the formal definitions.
This is a bad book that goes with a worse course (on Coursera.) Both the course and the book careen between simple explanations of simple stuff and incomprehensible explanations of complicated stuff. There is no orderly progression from simple to intermediate to complex. If this weren't bad enough, some important topics have been omitted completely. The tip off that these guys are clueless should have been the introductory video, which features a section in which the course's three professors play blackjack. At least they claim it is blackjack, although they clearly haven't a clue how blackjack is played. Save your time and money. Avoid the book and the course.
I am not a math major, and I found many of the mathematical notations a bit daunting. It has many questions, but would appreciate if the author could provide answers at the back of the book.Very often, concrete examples illustrating the maths behind the ideas could illuminate the mathematical notations to a non-mathematicians, and if the next edition could incorporate that, that will be most helpful to the non-mathmaticians.The topic of Baysian Games was not covered, which was a bit of a disappointment, as it is one of the books recommended by the professors teaching the course on Game Theory in Coursera, and that subject, Baysian Games was covered in the course, so I was hoping that this book would expend on that topic, but it wasn't covered in this book.
Actually the title represents exactly what it is, a concise introduction. It's not necessarily for beginners. Certainly it would be better used by people that already know a little of Game Theory. It's not pretended to be a text book; it is more of a companion book with remainders than a textbook with exercises. More examples explained step to step would make more useful for people interested in learning on game theory.
Got the book to go along with the free Stanford University course on Game Theory and the corresponding Auction Theory course by the same authors. I plan on getting the first, but more extensive book Multi-Agent Systems: Algorithmic Game-theoretic and Logical Foundations.
This short (about 100 pages) book is an excellent introduction to game theory. Written for computer science students it is nonetheless accessible to anyone with a bit of mathematics in his/her background that includes elementary matrix and set theory and notation.
Interesting thought process and the examples that are used were inciting full. Impressed with the small amount of material and the simplicity of the explanations, enjoyed reading the book.
It's <100 pages, and I would have liked more content. But it's a good companion to the Stanford Game Theory class on Coursera.
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