- Paperback: 88 pages
- Publisher: Morgan & Claypool Publishers; 1 edition (15 June 2008)
- Language: English
- ISBN-10: 1598295934
- ISBN-13: 978-1598295931
- Product Dimensions: 19 x 0.5 x 23.5 cm
- Amazon Bestsellers Rank: #4,21,629 in Books (See Top 100 in Books)
Essentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning) Paperback – Import, 15 Jun 2008
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About the Author
Kevin Leyton-Brown is an Assistant Professor of Computer Science at the University of British Columbia. His affiliations include the Laboratory for Computational Intelligence (LCI) and the Bioinformatics, and Empirical and Theoretical Algorithmics Laboratory (BETA-Lab) and membership on the editorial board of the Journal of AI Research (JAIR).
Yoav Shoham is Professor of Computer Science at Stanford University, where he has been since receiving his PhD in computer science from Yale University in 1987. Shoham is a Fellow of the Association for Advancement of Artificial Intelligence (AAAI) and charter member of the International Game Theory Society. Aside from authoring four books and numerous other works, he is director of TARK (Theoretical Aspects of Rationality and Knowledge), a non-profit organization.
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Most Helpful Customer Reviews on Amazon.com (beta)
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.