Game theory has revolutionised our understanding of industrial organisation and the traditional theory of the firm. Despite these advances, industrial economists have tended to rely on a restricted set of tools from game theory, focusing on static and repeated games to analyse firm structure and behaviour. Luca Lambertini, a leading expert on the application of differential game theory to economics, argues that many dynamic phenomena in industrial organisation (such as monopoly, oligopoly, advertising, R&D races) can be better understood and analysed through the use of differential games. After illustrating the basic elements of the theory, Lambertini guides the reader through the main models, spanning from optimal control problems describing the behaviour of a monopolist through to oligopoly games in which firms' strategies include prices, quantities and investments. This approach will be of great value to students and researchers in economics and those interested in advanced applications of game theory.

Bruce Bueno de Mesquita is a master of game theory, which is a fancy label for a simple idea: People compete, and they always do what they think is in their own best interest. Bueno de Mesquita uses game theory and its insights into human behavior to predict and even engineer political, financial, and personal events. His forecasts, which have been employed by everyone from the CIA to major business firms, have an amazing 90 percent accuracy rate, and in this dazzling and revelatory book he shares his startling methods and lets you play along in a range of high-stakes negotiations and conflicts.
Revealing the origins of game theory and the advances made by John Nash, the Nobel Prize--winning scientist perhaps best known from "A Beautiful Mind," Bueno de Mesquita details the controversial and cold-eyed system of calculation that he has since created, one that allows individuals to think strategically about what their opponents want, how much they want it, and how they might react to every move. From there, Bueno de Mesquita games such events as the North Korean disarmament talks and the Middle East peace process and recalls, among other cases, how he correctly predicted which corporate clients of the Arthur Andersen accounting firm were most likely engaged in fraudulent activity (hint: one of them started with an E). And looking as ever to the future, Bueno de Mesquita also demonstrates how game theory can provide successful strategies to combat both global warming (instead of relying on empty regulations, make nations compete in technology) and terror (figure out exactly how much U.S. aid will make Pakistan fight the Taliban).
But as Bueno de Mesquita shows, game theory isn't just for saving the world. It can help you in your own life, whether you want to succeed in a lawsuit (lawyers argue too much the merits of the case and question too little the motives of their opponents), elect the CEO of your company (change the system of voting on your board to be more advantageous to your candidate), or even buy a car (start by knowing exactly what you want, call every dealer in a fifty-mile radius, and negotiate only over the phone).
Savvy, provocative, and shockingly effective, The Predictioneer's Game will change how you understand the world and manage your future. Life's a game, and how you play is whether you win or lose.

"From the Hardcover edition."

The advent of noncooperative game theory over the past two decades has brought about a mild revolution in economics. This book presents an accessible, non-technical discussion of the basic concepts from noncooperative theory, and explores the strengths, weaknesses, and future of the theory as a tool for economists.

Games are everywhere: Drivers manoeuvring in heavy traffic are playing a driving game. Bargain hunters bidding on eBay are playing an auctioning game. A firm negotiating next year's wage is playing a bargaining game. The opposing candidates in an election are playing a political game. The supermarket's price for corn flakes is decided by playing an economic game. Game theory is about how to play such games in a rational way. Even when the players have not thought everything out in advance, game theory often works for the same reason that mindless animals sometimes end up behaving very cleverly: evolutionary forces eliminate irrational play because it is unfit. Game theory has seen spectacular successes in evolutionary biology and economics, and is beginning to revolutionize other disciplines from psychology to political science. This Very Short Introduction introduces the fascinating world of game theory, showing how it can be understood without mathematical equations, and revealing that everything from how to play poker optimally to the sex ratio among bees can be understood by anyone willing to think seriously about the problem. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

This advanced text introduces the principles of noncooperative game theory in a direct and uncomplicated style that will acquaint students with the broad spectrum of the field while highlighting and explaining what they need to know at any given point. This advanced text introduces the principles of noncooperative game theory-including strategic form games, Nash equilibria, subgame perfection, repeated games, and games of incomplete information-in a direct and uncomplicated style that will acquaint students with the broad spectrum of the field while highlighting and explaining what they need to know at any given point. The analytic material is accompanied by many applications, examples, and exercises. The theory of noncooperative games studies the behavior of agents in any situation where each agent's optimal choice may depend on a forecast of the opponents' choices. "Noncooperative" refers to choices that are based on the participant's perceived selfinterest. Although game theory has been applied to many fields, Fudenberg and Tirole focus on the kinds of game theory that have been most useful in the study of economic problems. They also include some applications to political science. The fourteen chapters are grouped in parts that cover static games of complete information, dynamic games of complete information, static games of incomplete information, dynamic games of incomplete information, and advanced topics.

This book describes the latest advances in the theory of mean field games, which are optimal control problems with a continuum of players, each of them interacting with the whole statistical distribution of a population. While it originated in economics, this theory now has applications in areas as diverse as mathematical finance, crowd phenomena, epidemiology, and cybersecurity. Because mean field games concern the interactions of infinitely many players in an optimal control framework, one expects them to appear as the limit for Nash equilibria of differential games with finitely many players as the number of players tends to infinity. This book rigorously establishes this convergence, which has been an open problem until now. The limit of the system associated with differential games with finitely many players is described by the so-called master equation, a nonlocal transport equation in the space of measures. After defining a suitable notion of differentiability in the space of measures, the authors provide a complete self-contained analysis of the master equation. Their analysis includes the case of common noise problems in which all the players are affected by a common Brownian motion. They then go on to explain how to use the master equation to prove the mean field limit. This groundbreaking book presents two important new results in mean field games that contribute to a unified theoretical framework for this exciting and fast-developing area of mathematics.

Voters today often desert a preferred candidate for a more viable second choice to avoid wasting their vote. Likewise, parties to a dispute often find themselves unable to agree on a fair division of contested goods. In "Mathematics and Democracy," Steven Brams, a leading authority in the use of mathematics to design decision-making processes, shows how social-choice and game theory could make political and social institutions more democratic. Using mathematical analysis, he develops rigorous new procedures that enable voters to better express themselves and that allow disputants to divide goods more fairly.

One of the procedures that Brams proposes is "approval voting," which allows voters to vote for as many candidates as they like or consider acceptable. There is no ranking, and the candidate with the most votes wins. The voter no longer has to consider whether a vote for a preferred but less popular candidate might be wasted. In the same vein, Brams puts forward new, more equitable procedures for resolving disputes over divisible and indivisible goods.

This title examines the structure of approximate solutions of optimal control problems considered on subintervals of a real line. Specifically at the properties of approximate solutions which are independent of the length of the interval. The results illustrated in this book look into the so-called turnpike property of optimal control problems. The author generalizes the results of the turnpike property by considering a class of optimal control problems which is identified with the corresponding complete metric space of objective functions. This establishes the turnpike property for any element in a set that is in a countable intersection which is open everywhere dense sets in the space of integrands; meaning that the turnpike property holds for most optimal control problems. Mathematicians working in optimal control and the calculus of variations and graduate students will find this book useful and valuable due to its presentation of solutions to a number of difficult problems in optimal control and presentation of new approaches, techniques and methods.

Noncooperative Game Theory is aimed at students interested in using game theory as a design methodology for solving problems in engineering and computer science. Joao Hespanha shows that such design challenges can be analyzed through game theoretical perspectives that help to pinpoint each problem's essence: Who are the players? What are their goals? Will the solution to "the game" solve the original design problem? Using the fundamentals of game theory, Hespanha explores these issues and more. The use of game theory in technology design is a recent development arising from the intrinsic limitations of classical optimization-based designs. In optimization, one attempts to find values for parameters that minimize suitably defined criteria--such as monetary cost, energy consumption, or heat generated. However, in most engineering applications, there is always some uncertainty as to how the selected parameters will affect the final objective. Through a sequential and easy-to-understand discussion, Hespanha examines how to make sure that the selection leads to acceptable performance, even in the presence of uncertainty--the unforgiving variable that can wreck engineering designs. Hespanha looks at such standard topics as zero-sum, non-zero-sum, and dynamics games and includes a MATLAB guide to coding. Noncooperative Game Theory offers students a fresh way of approaching engineering and computer science applications. * An introduction to game theory applications for students of engineering and computer science * Materials presented sequentially and in an easy-to-understand fashion* Topics explore zero-sum, non-zero-sum, and dynamics games* MATLAB commands are included

This major two volume collection presents some of the most influential theoretical and empirical papers on the economic theory of auctions. Auction theory has been the basis of fundamental theoretical work in industrial economics, public economics, labour economics and finance, and has helped the understanding of price formation in markets. There has recently been an explosion of interest in its practical applications, especially in organising the sale of government assets (for example, treasury bonds, radio spectrum licenses, and firms to be privatised) and in developing new markets for electricity and transport. Because auctions are such simple and well defined environments, they provide a valuable testing ground for economic theory that has been increasingly exploited in empirical work. The book will also include important previously unpublished papers by P.R. Milgrom, R. Weber and A. Ortega-Reichert, and other hard-to-find papers by W. Vickery and others.

A wealth of research in recent decades has seen the economic approach to human behavior extended over many areas previously considered to belong to sociology, political science, law, and other fields. Research has also shown that economics can provide insight into many aspects of sports, including soccer. "Beautiful Game Theory" is the first book that uses soccer to test economic theories and document novel human behavior.

In this brilliant and entertaining book, Ignacio Palacios-Huerta illuminates economics through the world's most popular sport. He offers unique and often startling insights into game theory and microeconomics, covering topics such as mixed strategies, discrimination, incentives, and human preferences. He also looks at finance, experimental economics, behavioral economics, and neuroeconomics. Soccer provides rich data sets and environments that shed light on universal economic principles in interesting and useful ways.

Essential reading for students, researchers, and sports enthusiasts, "Beautiful Game Theory is the first book to show "what soccer can do for economics.

This is the first systematic exposition of random sets theory since Matheron (1975), with full proofs, exhaustive bibliographies and literature notes

Interdisciplinary connections and applications of random sets are emphasized throughout the bookAn extensive bibliography in the book is available on the Web at http: //liinwww.ira.uka.de/bibliography/math/random.closed.sets.html, and is accompanied by a search engine

Game theory--the study of how people make choices while interacting with others--is one of the most popular technical approaches in social science today. But as Michael Chwe reveals in his insightful new book, Jane Austen explored game theory's core ideas in her six novels roughly two hundred years ago. "Jane Austen, Game Theorist" shows how this beloved writer theorized choice and preferences, prized strategic thinking, argued that jointly strategizing with a partner is the surest foundation for intimacy, and analyzed why superiors are often strategically clueless about inferiors. With a diverse range of literature and folktales, this book illustrates the wide relevance of game theory and how, fundamentally, we are all strategic thinkers.

Although game theory's mathematical development began in the Cold War 1950s, Chwe finds that game theory has earlier subversive historical roots in Austen's novels and in "folk game theory" traditions, including African American folktales. Chwe makes the case that these literary forebears are game theory's true scientific predecessors. He considers how Austen in particular analyzed "cluelessness"--the conspicuous absence of strategic thinking--and how her sharp observations apply to a variety of situations, including U.S. military blunders in Iraq and Vietnam.

"Jane Austen, Game Theorist" brings together the study of literature and social science in an original and surprising way.

The present collection of formulas has been composed for students of economics or management science at universities, colleges and trade schools. It contains basic knowledge in mathematics, financial mathematics and statistics in a compact and clearly arranged form. This volume is meant to be a reference work to be used by students of undergraduate courses together with a textbook, and by researchers in need of exact statements of mathematical results. People dealing with practical or applied problems will also find this collection to be an efficient and easy-to-use work of reference.This carefully revised and enlarged edition also presents methods of rank statistics and the analysis of variance (ANOVA) and covariance.

From a pioneer in experimental economics, an expanded and updated edition of a textbook that brings economic experiments into the classroom Economics is rapidly becoming a more experimental science, and the best way to convey insights from this research is to engage students in classroom simulations that motivate subsequent discussions and reading. In this expanded and updated second edition of Markets, Games, and Strategic Behavior, Charles Holt, one of the leaders in experimental economics, provides an unparalleled introduction to the study of economic behavior, organized around risky decisions, games of strategy, and economic markets that can be simulated in class. Each chapter is based on a key experiment, presented with accessible examples and just enough theory. Featuring innovative applications from the lab and the field, the book introduces new research on a wide range of topics. Core chapters provide an introduction to the experimental analysis of markets and strategic decisions made in the shadow of risk or conflict. Instructors can then pick and choose among topics focused on bargaining, game theory, social preferences, industrial organization, public choice and voting, asset market bubbles, and auctions. Based on decades of teaching experience, this is the perfect book for any undergraduate course in experimental economics or behavioral game theory. New material on topics such as matching, belief elicitation, repeated games, prospect theory, probabilistic choice, macro experiments, and statistical analysis Participatory experiments that connect behavioral theory and laboratory research Largely self-contained chapters that can each be covered in a single class Guidance for instructors on setting up classroom experiments, with either hand-run procedures or free online software End-of-chapter problems, including some conceptual-design questions, with hints or partial solutions provided

This book covers microeconomic theory at the Master's and Ph.D levels for students in business schools and economics departments. It concisely covers major mainstream microeconomic theories today, including neoclassical microeconomics, game theory, information economics, and contract theory. The revamped, 3rd edition of "Microeconomic Theory" offers faculty, graduate and upper undergraduate students with a comprehensive curriculum solution.

The book investigates bargaining between two agents. It presents the history of bargaining analysis from Francis Y. Edgeworth's first formal study, followed by cooperative and noncooperative game-theoretic models, to recent stochastic evolutionary investigations. Connections between the results obtained by different methodology are highlighted. The established theory is generalized with respect to its underlying rationality assumptions. Links between usually neglected psychological factors - e.g. the persistence and capriciousness of an agent - and average bargaining success are identified. Applications of bargaining models contribute to the measurement of decision power and to the discussion of distributive justice.

"Colin Camerer's "Behavioral Game Theory" fills an important niche in the literature. It brings together and synthesizes a large body of experimental and theoretical work on multi-person interactions, in psychology as well as economics. The result is a theory of games enriched by empirical knowledge and significantly closer to what is needed for applications. Camerer's book will make an outstanding principal or supplementary text for graduate or advanced undergraduate courses in game theory and experimental economics."--Vincent Crawford, University of California, San Diego

"Behavioral economics has become very popular and of growing interest both within economics and in social science more generally. It integrates the rational maximizing behavior characteristic of economic models with objectives and beliefs characteristic of sociology and psychology in new and useful ways. Thus, it is increasingly relevant in framing issues such as tax policy, income redistribution, auctions, crime, and drug addiction. In this excellent and welcome work, "Behavioral Game Theory," Colin Camerer brings his impressive breadth of knowledge to bear on the behavioral economics of strategic interaction, and thus on the field itself. This book will induce scholars, graduate students, and young social scientists alike to work in this burgeoning and exciting area of intellectual pursuit."--Herbert Gintis, University of Massachusetts and the Santa Fe Institute

"Colin Camerer's "Behavioral Game Theory" is a major achievement. Nothing like it is available thus far, and the author is uniquely qualified to have written it. He has an impressive understanding of both psychology and economics. He has taken thetrouble to 'talk through' hundreds of tricky arguments that elsewhere just get stated mathematically. Rarer still is his positive attitude toward modeling, experimentation, econometrics, and other methodologies. If his book invests others with the same open-minded, synergistic outlook, that alone would make it worthwhile."--David G. Pearce, Yale University

"This is a terrific book. I cannot recommend it highly enough. In addition to its substantive findings, it contains a wealth of wise methodological insights, generously sprinkled with relevant and stimulating anecdotes."--Jon Elster, Columbia University

"Behavioral economics has won whatever intellectual war was fought. It has won in the sense that it has been shown to be superior to the conventional alternatives wherever there has been an evidentiary contest. In a deeper sense, however, there was no war-simply standard science, in which the current generation of scholars builds on and expands the work of previous generations. The work of implementing these advances has only begun. This book explains the nature of the advances to those in economics who were locked away in their workshops while the intellectual contest was being waged and may be unaware of what has happened."--Henry J. Aaron, The Brookings Institution

"It is certainly time that a book such as this be published. This volume will be a 'one-stop shop' for learning about behavioral economics and is likely to be adopted in graduate course in behavioral economics (and may even encourage people to offer such a course). The introductory chapter does a good job of explaining the enterprise, behavioral economics, and providing some history and context."--Linda Babcock, Carnegie Mellon University, coauthor of "Women Don't Ask"

Since its original publication in 2000, "Game Theory Evolving" has been considered the best textbook on evolutionary game theory. This completely revised and updated second edition of "Game Theory Evolving" contains new material and shows students how to apply game theory to model human behavior in ways that reflect the special nature of sociality and individuality. The textbook continues its in-depth look at cooperation in teams, agent-based simulations, experimental economics, the evolution and diffusion of preferences, and the connection between biology and economics.

Recognizing that students learn by doing, the textbook introduces principles through practice. Herbert Gintis exposes students to the techniques and applications of game theory through a wealth of sophisticated and surprisingly fun-to-solve problems involving human and animal behavior. The second edition includes solutions to the problems presented and information related to agent-based modeling. In addition, the textbook incorporates instruction in using mathematical software to solve complex problems. "Game Theory Evolving" is perfect for graduate and upper-level undergraduate economics students, and is a terrific introduction for ambitious do-it-yourselfers throughout the behavioral sciences.Revised and updated edition relevant for courses across disciplines Perfect for graduate and upper-level undergraduate economics courses Solutions to problems presented throughout Incorporates instruction in using computational software for complex problem solving Includes in-depth discussions of agent-based modeling

This book gathers the most essential results, including recent ones, on linear-quadratic optimal control problems, which represent an important aspect of stochastic control. It presents the results in the context of finite and infinite horizon problems, and discusses a number of new and interesting issues. Further, it precisely identifies, for the first time, the interconnections between three well-known, relevant issues - the existence of optimal controls, solvability of the optimality system, and solvability of the associated Riccati equation. Although the content is largely self-contained, readers should have a basic grasp of linear algebra, functional analysis and stochastic ordinary differential equations. The book is mainly intended for senior undergraduate and graduate students majoring in applied mathematics who are interested in stochastic control theory. However, it will also appeal to researchers in other related areas, such as engineering, management, finance/economics and the social sciences.

Information is a central concept in economics, and The Knowledge We Have Lost in Information explores its treatment in modern economics. The study of information, far from offering enlightenment, resulted in all matter of confusion for economists and the public. Philip Mirowski and Edward Nik-Khah argue that the conventional wisdom suggesting "economic rationality" was the core of modern economics is incomplete. In this trenchant investigation, they demonstrate that the history of modern microeconomics is better organized as a history of the treatment of information. The book begins with a brief primer on information, and then shows how economists have responded over time to successive developments on the concept of information in the natural sciences. Mirowski and Nik-Khah detail various intellectual battles that were fought to define, analyze, and employ information in economics. As these debates developed, economists progressively moved away from pure agent conscious self-awareness as a non-negotiable desideratum of economic models toward a focus on markets and their design as information processors. This has led to a number of policies, foremost among them: auction design of resources like the electromagnetic spectrum crucial to modern communications. The Knowledge We Have Lost in Information provides insight into the interface between disputes within the economics discipline and the increasing role of information in contemporary society. Mirowski and Nik-Shah examine how this intersection contributed to the dominance of neoliberal approaches to economics, politics, and other realms.

This book 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 overly 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.

Born of a belief that economic insights should not require much mathematical sophistication, this book proposes novel and parsimonious methods to incorporate ignorance and uncertainty into economic modeling, without complex mathematics. Economics has made great strides over the past several decades in modeling agents' decisions when they are incompletely informed, but many economists believe that there are aspects of these models that are less than satisfactory. Among the concerns are that ignorance is not captured well in most models, that agents' presumed cognitive ability is implausible, and that derived optimal behavior is sometimes driven by the fine details of the model rather than the underlying economics. Compte and Postlewaite lay out a tractable way to address these concerns, and to incorporate plausible limitations on agents' sophistication. A central aspect of the proposed methodology is to restrict the strategies assumed available to agents.