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.
Download or read it online for free here:
by Christian-Oliver Ewald
These are lecture notes for a course in game theory. The text covers general concepts of two person games, Brouwer’s fixed point theorem and Nash’s equilibrium theorem, more general equilibrium theorems, cooperative games and differential games.
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.
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 Giacomo Bonanno, et al. - Amsterdam University Press
LOFT is a key venue for presenting research at the intersection of logic, economics and computer science, and the present collection gives a lively view of an exciting and rapidly growing area. This volume collects papers presented at the Conference.