Game Theory and Economic Modelling
Author: David M. Kreps
Publisher: Oxford University Press
Published: 1990
Total Pages: 204
ISBN-13: 0198283814
DOWNLOAD EBOOKComprises lectures given at Tel Aviv University and Oxford University in 1990.
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Modeling Strategic Behavior: A Graduate Introduction To Game Theory And Mechanism Design
Author: George J Mailath
Publisher: World Scientific
Published: 2018-12-18
Total Pages: 364
ISBN-13: 9813239956
DOWNLOAD EBOOKIt is impossible to understand modern economics without knowledge of the basic tools of gametheory and mechanism design. This book provides a graduate-level introduction to the economic modeling of strategic behavior. The goal is to teach Economics doctoral students the tools of game theory and mechanism design that all economists should know.
Game Theory for Economists
Author: Jürgen Eichberger
Publisher: Emerald Group Publishing
Published: 1993
Total Pages: 315
ISBN-13: 9780122336201
DOWNLOAD EBOOKIntroduces the game-theoretic approach of modelling economic behaviour and interaction, focusing on concepts and ideas from the field of game-theoretic models which find commonly used applications in economics. This book provides the reader with skills necessary to formalize economic games and to make them accessible for game theoretic analysis.
Classics in Game Theory
Author: Harold William Kuhn
Publisher: Princeton University Press
Published: 2020-11-10
Total Pages: 328
ISBN-13: 1400829151
DOWNLOAD EBOOKClassics in Game Theory assembles in one sourcebook the basic contributions to the field that followed on the publication of Theory of Games and Economic Behavior by John von Neumann and Oskar Morgenstern (Princeton, 1944). The theory of games, first given a rigorous formulation by von Neumann in a in 1928, is a subfield of mathematics and economics that models situations in which individuals compete and cooperate with each other. In the "heroic era" of research that began in the late 1940s, the foundations of the current theory were laid; it is these fundamental contributions that are collected in this volume. In the last fifteen years, game theory has become the dominant model in economic theory and has made significant contributions to political science, biology, and international security studies. The central role of game theory in economic theory was recognized by the award of the Nobel Memorial Prize in Economic Science in 1994 to the pioneering game theorists John C. Harsanyi, John Nash, and Reinhard Selten. The fundamental works for which they were honored are all included in this volume. Harold Kuhn, himself a major contributor to game theory for his reformulation of extensive games, has chosen eighteen essays that constitute the core of game theory as it exists today. Drawn from a variety of sources, they will be an invaluable tool for researchers in game theory and for a broad group of students of economics, political science, and biology.
Models in Cooperative Game Theory
Author: Rodica Branzei
Publisher: Springer Science & Business Media
Published: 2008-03-08
Total Pages: 203
ISBN-13: 354077954X
DOWNLOAD EBOOKCooperative game theory is a booming research area with many new developments in the last few years. So, our main purpose when prep- ing the second edition was to incorporate as much of these new dev- opments as possible without changing the structure of the book. First, this o?ered us the opportunity to enhance and expand the treatment of traditional cooperative games, called here crisp games, and, especially, that of multi-choice games, in the idea to make the three parts of the monograph more balanced. Second, we have used the opportunity of a secondeditiontoupdateandenlargethelistofreferencesregardingthe threemodels of cooperative games. Finally, we have bene?ted fromthis opportunity by removing typos and a few less important results from the ?rst edition of the book, and by slightly polishing the English style and the punctuation, for the sake of consistency along the monograph. The main changes are: (1) Chapter 3 contains an additional section, Section 3. 3, on the - erage lexicographic value, which is a recent one-point solution concept de?ned on the class of balanced crisp games. (2) Chapter 4 is new. It o?ers a brief overview on solution c- cepts for crisp games from the point of view of egalitarian criteria, and presents in Section 4. 2 a recent set-valued solution concept based on egalitarian considerations, namely the equal split-o? set. (3)Chapter5isbasicallyanenlargedversionofChapter4ofthe?rst edition because Section 5. 4 dealing with the relation between convex games and clan games with crisp coalitions is new.
Theory of Games and Economic Behavior
Author: John Von Neumann
Publisher: Diana
Published: 2020-01-29
Total Pages: 660
ISBN-13: 9785608789779
DOWNLOAD EBOOKThis is the classic work upon which modern-day game theory is based. What began as a modest proposal that a mathematician and an economist write a short paper together blossomed, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.
The Theory of Learning in Games
Author: Drew Fudenberg
Publisher: MIT Press
Published: 1998
Total Pages: 304
ISBN-13: 9780262061940
DOWNLOAD EBOOKThis work explains that equilibrium is the long-run outcome of a process in which non-fully rational players search for optimality over time. The models they e×plore provide a foundation for equilibrium theory and suggest ways for economists to evaluate and modify traditional equilibrium concepts.
Game Theory in Management
Author: Mr Michael Hatfield
Publisher: Gower Publishing, Ltd.
Published: 2012-09-28
Total Pages: 215
ISBN-13: 1409459403
DOWNLOAD EBOOKArchitects and engineers can build models to test their ideas - why not managers? In Game Theory in Management: Modelling Business Decisions and Their Consequences, author Michael Hatfield presents a series of mathematically structured analogies to real-life business and economic interaction scenarios, and then, using modern game theory, he shows how to test common managerial technical approaches for their effectiveness. His results are astonishing: if game theory is correct then many commonly-held and taught management approaches and techniques are not only less effective than thought, they are actually detrimental in many areas where they are held to be beneficial. Game Theory in Management also examines managerial implications from network theory, cartage schemes, risk management theory, management information system epistemology, and other areas where the quantification and testing of business decisions can be employed to identify winning and losing stratagems. While the topic may seem complex, Game Theory in Management is a readable and fast-paced book; readers will come away with an entirely new perspective on the objectives, tactics, even purpose of management, and ways of evaluating the selected strategies and decisions of those within the team, inside the macro organization, and among competitors. Easily-employed tests for the validity and efficacy of management information systems are also addressed, as are those environments where cartage schemes can be most effective, and where they are not. In the areas of asset, project, and strategic management, Game Theory in Management is certain to become a game-changer.
Game Theory for Applied Economists
Author: Robert Gibbons
Publisher: Princeton University Press
Published: 1992-07-13
Total Pages: 284
ISBN-13: 1400835887
DOWNLOAD EBOOKAn introduction to one of the most powerful tools in modern economics Game Theory for Applied Economists introduces one of the most powerful tools of modern economics to a wide audience: those who will later construct or consume game-theoretic models. Robert Gibbons addresses scholars in applied fields within economics who want a serious and thorough discussion of game theory but who may have found other works too abstract. Gibbons emphasizes the economic applications of the theory at least as much as the pure theory itself; formal arguments about abstract games play a minor role. The applications illustrate the process of model building—of translating an informal description of a multi-person decision situation into a formal game-theoretic problem to be analyzed. Also, the variety of applications shows that similar issues arise in different areas of economics, and that the same game-theoretic tools can be applied in each setting. In order to emphasize the broad potential scope of the theory, conventional applications from industrial organization have been largely replaced by applications from labor, macro, and other applied fields in economics. The book covers four classes of games, and four corresponding notions of equilibrium: static games of complete information and Nash equilibrium, dynamic games of complete information and subgame-perfect Nash equilibrium, static games of incomplete information and Bayesian Nash equilibrium, and dynamic games of incomplete information and perfect Bayesian equilibrium.
Economic Modeling Using Artificial Intelligence Methods
Author: Tshilidzi Marwala
Publisher: Springer Science & Business Media
Published: 2013-04-02
Total Pages: 271
ISBN-13: 1447150104
DOWNLOAD EBOOKEconomic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networks radial basis functions support vector machines rough sets genetic algorithm particle swarm optimization simulated annealing multi-agent system incremental learning fuzzy networks Signal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace – and vice versa – is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
