Graduate-Level Course in Game Theory
by Jim Ratliff
These are lecture notes from a game-theory course the author taught to students in their second year of the economics PhD program at the University of Arizona. The material presented would also be helpful to first-year PhD students learning game theory as part of their microeconomic-theory sequence, as well as to advanced undergraduates learning game theory. The exposition is detailed, rigorous, and self-contained.
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by Christian Julmi - BookBoon
This textbook provides an overview of the field of game theory which analyses decision situations that have the character of games. The book is suitable as an introductory reading and is meant to sharpen the reader's strategic thinking abilities.
by Richard J. Nowakowski - Cambridge University Press
This book is a state-of-the-art look at combinatorial games, that is, games not involving chance or hidden information. The book contains articles by some of the foremost researchers and pioneers of combinatorial game theory.
by Noam Nisan, at al. - Cambridge University Press
The subject matter of Algorithmic Game Theory covers many of the hottest area of useful new game theory research, introducing deep new problems, techniques, and perspectives that demand the attention of economists as well as computer scientists.
by Yoav Shoham, Kevin Leyton-Brown - Cambridge University Press
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.