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 J. Orlin Grabbe - arXiv
This essay gives a self-contained introduction to quantum game theory, and is primarily oriented to economists with little or no acquaintance with quantum mechanics. It assumes little more than a basic knowledge of vector algebra.
by Richard J. Nowakowski (ed.) - Cambridge University Press
The volume contains the first comprehensive explorations of misère games. It includes a tutorial for the very successful approach to analyzing misère impartial games and the first attempt at using it for misère partisan games.
by Douglas Gale - Cambridge University Press
This is a book on strategic foundations of the theory of competition. Using insights from game theory, the author develops a model to explain what actually goes on in markets and how a competitive general equilibrium is achieved.
by Michael H. Albert, Richard J. Nowakowski - Cambridge University Press
This fascinating look at combinatorial games, that is, games not involving chance or hidden information, offers updates on standard games such as Go and Hex, on impartial games, and on aspects of games with infinitesimal values.