Essentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Leyton-Brown, Kevin; Shoham, Yoav

ISBN 10: 3031004175 ISBN 13: 9783031004179

Editorial: Springer, 2008

Idioma: Ingl�s

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T�tulo

Essentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Editor

Springer

Fecha de publicaci�n

2008

Idioma

Ingl�s

ISBN 10

3031004175

ISBN 13

9783031004179

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

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.

Acerca del autor

Kevin Leyton-Brown is a professor of Computer Science at the University of British Columbia and an associate member of the Vancouver School of Economics. He holds a PhD and M.Sc. from Stanford University (2003; 2001) and a B.Sc. from McMaster University (1998). He studies the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also applies machine learning to the automated design and analysis of algorithms for solving hard computational problems.

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