Essentials of Game Theory: A Concise, Multidisciplinary Introduction
Synthesis Lectures on Artificial Intelligence and Machine Learning
Authors: Kevin Leyton-Brown; Yoav Shoham

Game theory is the mathematical study of interaction among independent, self-interested
agents. The audience for game theory has grown dramatically in recent years, and now spans
disciplines as diverse as political science, biology, psychology, economics, linguistics,
sociology, and computer science, among others. What has been missing is a relatively short
introduction to the field covering the common basis that anyone with a professional interest
in game theory is likely to require. Such a text would minimize notation, ruthlessly focus
on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by
providing a concise and accessible introduction to the field. It covers the main classes of
games, their representations, and the main concepts used to analyze them.

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