Games, Information, and Politics: Applying Game Theoretic Models to Political Science (Analytical Perspectives On Politics)

To study the strategic interaction of individuals, we can use game theory. Despite the long history shared by game theory and political science, many political scientists remain unaware of the exciting game theoretic techniques that have been developed over the years. As a result they use overly simple games to illustrate complex processes. Games, Information, and Politics is written for political scientists who have an interest in game theory but really do not understand how it can be used to improve our understanding of politics. To address this problem, Gates and Humes write for scholars who have little or no training in formal theory and demonstrate how game theoretic analysis can be applied to politics. They apply game theoretic models to three subfields of political science: American politics, comparative politics, and international relations. They demonstrate how game theory can be applied to each of these subfields by drawing from three distinct pieces of research. By drawing on examples from current research projects the authors use real research problems--not hypothetical questions--to develop their discussion of various techniques and to demonstrate how to apply game theoretic models to help answer important political questions. Emphasizing the process of applying game theory, Gates and Humes clear up some common misperceptions about game theory and show how it can be used to improve our understanding of politics. Games, Information, and Politics is written for scholars interested in understanding how game theory is used to model strategic interactions. It will appeal to sociologists and economists as well as political scientists.  Scott Gates is Assistant Professor of Political Science, Michigan State University. Brian D. Humes is Associate Professor of Political Science, University of Nebraska-Lincoln.

Business & Money

Gates, Scott

Humes, Brian D.

Economics

University of Michigan Press

To study the strategic interaction of individuals, we can use game theory. Despite the long history shared by game theory and political science, many political scientists remain unaware of the exciting game theoretic techniques that have been developed over the years. As a result they use overly simple games to illustrate complex processes. Games, Information, and Politics is written for political scientists who have an interest in game theory but really do not understand how it can be used to improve our understanding of politics. To address this problem, Gates and Humes write for scholars who have little or no training in formal theory and demonstrate how game theoretic analysis can be applied to politics. They apply game theoretic models to three subfields of political science: American politics, comparative politics, and international relations. They demonstrate how game theory can be applied to each of these subfields by drawing from three distinct pieces of research. By drawing on examples from current research projects the authors use real research problems--not hypothetical questions--to develop their discussion of various techniques and to demonstrate how to apply game theoretic models to help answer important political questions. Emphasizing the process of applying game theory, Gates and Humes clear up some common misperceptions about game theory and show how it can be used to improve our understanding of politics. Games, Information, and Politics is written for scholars interested in understanding how game theory is used to model strategic interactions. It will appeal to sociologists and economists as well as political scientists. Scott Gates is Assistant Professor of Political Science, Michigan State University. Brian D. Humes is Associate Professor of Political Science, University of Nebraska-Lincoln.

Game theory, particularly the use of repeated games, N-person games, and incomplete information games have been popular research techniques in political science, sociology and management, but difficult for new social researchers to use until now.This book aims makes these topics accessible to all social scientists. Using a common social science game, Chicken, to illustrate the concepts, the book introduces readers to: games of incomplete information; how to build uncertainty into game theoretic models; the concept of Bayesian Nash equilibrium; and the role of repetition.

Game Theory Topics: Incomplete Information, Repeated Games and N-Player Games (Quantitative Applications in the Social Sciences)

Computers & Technology

Fink, Evelyn C.

Computer Science

Sage Publications, Inc.

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