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Lectures in Game Theory for Computer Scientists Hardcover – Feb 14 2011

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3 of 3 people found the following review helpful
Not what it says on the title Dec 26 2012
By Dominik Peters - Published on
Format: Hardcover
The book and its description claim to embed the tools of Game Theory into a Computer Science context. But really it doesn't. Confusingly, there are two conflicting uses of the word 'game' in this area: On the one hand, there is Game Theory with its models of strategic interaction between decision makers - a 'solution' of such a game is prediction/prescription/explanation of the outcome of this interaction. In computer science (and verification in particular) a different notion of a 'parity game' is considered. But this is done with a completely different aim, no insights of game theory apply.

This book opens with a traditional account of game theory (which is obtainable from innumerable other books) but then considers (with the exception of two more chapters) the disjoint Computer-Science-idea of a game. So this is a book about two different topics that somehow fail to be distinguished. [I did not read much of the book, as it isn't about what I got it for, the content seems solid.] For those who look for computational views on game theory, other books will be required. Possibilities in that area are:
- Computational Aspects of Cooperative Game Theory (Synthesis Lectures on Artificial Inetlligence and Machine Learning) (accessible and very good)
- Algorithmic Game Theory
- Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
- Combinatorial Auctions (select chapters)