Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of Algorithmic Game theory.
The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management..
This book grew out of the author\'s Stanford University course on Algorithmic Game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field.
The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics.
Economics and Game Theory offer a host of useful models and definitions to reason about such problems.
Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties.
Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of Algorithmic Game theory
