Algorithmic Game Theory
by Noam Nisan, at al.
Publisher: Cambridge University Press 2007
Number of pages: 775
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. The all-star list of author-contributors makes this book the best place for newcomers to begin their studies.
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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 Moshe Y. Vardi - ESSLLI
Games have shown to provide a useful paradigm for reasoning about reactive systems. This text demonstrates the power of the game-theoretic approach, by showing how it gives rise to a unifying algorithmic framework through the use of tree automata.
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.
by Roger McCain - Drexel University
Striking an appropriate balance of mathematical and analytical rigor, this book teaches by example. Learners typically relate better to examples from their own fields, and McCain provides illustrations everyone can relate to.