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2x2 games provide the very basis of game theory and this book constitutes something approaching a 'periodic table' of the most common games - the prisoner's dilemma, coordination games, chicken and the battle of the sexes among them.
Game theory has implications for all the social sciences and beyond. It now provides the theoretical basis for almost all teaching in economics, and 2x2 games provide the very basis of game theory. Here, Goforth and Robinson here have delivered a well-written and knowledgeable, 'periodic table' of the most common games including: * the prisoner's dilemma * coordination games * chicken * the battle of the sexes. This book will provide a valuable reference for students of microeconomics and business mathematics.
This book presents new research related to climate change policies and effects. It discusses the implications of climate change on issues pertaining to international relations and economic development, and the question of how climate change could jeopardize the international system as we have known it until today. It aims to provide an empirical basis and epistemological framework to discuss the effects of climate change on economic growth, social development and welfare as a global phenomenon influenced by policies carried out transnationally and by national governments. Case studies from around the globe are presented.
The commons theory, first articulated by Elinor Ostrom, is increasingly used as a framework to understand and rethink the management and governance of many kinds of shared resources. These resources can include natural and digital properties, cultural goods, knowledge and intellectual property, and housing and urban infrastructure, among many others. In a world of increasing scarcity and demand - from individuals, states, and markets - it is imperative to understand how best to induce cooperation among users of these resources in ways that advance sustainability, affordability, equity, and justice. This volume reflects this multifaceted and multidisciplinary field from a variety of perspectives, offering new applications and extensions of the commons theory, which is as diverse as the scholars who study it and is still developing in exciting ways.
The Handbook of Business Ethics: Philosophical Foundations is a standard interdisciplinary reference handbook in the field of business ethics. Articles by notable philosophers and economists examine fundamental concepts, theories and questions of business ethics: Are morality and self-interest compatible? What is meant by a just price? What did the Scholastic philosophers think about business? The handbook will cover the entire philosophical basis of business ethics. Articles range from historical positions such as Aristotelianism, Kantianism and Marxism to systematic issues like justice, religious issues, rights and globalisation or gender. The book is intended as a reference work for academics, students (esp. graduate), and professionals.
Building the Moral Community: Radical Naturalism and Emergence demonstrates how very simple models of moral engagements based on natural, incomplete, value-laden frames of the world can lead to general moral progress for the human community. All moral behavior affects more than one person, which means that the moral community is more than the sum of the individuals included in it. David W. Chambers argues that there is no ethically detached and superior position from which to operate, and that such claims are focused on ethics, not on acting morally. Therefore, he cautions against mistaking theories of ethics composed on statements about what is good and right for actual moral behavior that moves broadly and inevitably toward a better world. This book explores naturalistic ethics, offering a modified classical analytic philosophy exploration of morality that is consistent with emerging thinking in psychology, neurobiology, game theory, and self-adjusting systems.
Computer science and economics have engaged in a lively interaction over the past fifteen years, resulting in the new field of algorithmic game theory. Many problems that are central to modern computer science, ranging from resource allocation in large networks to online advertising, involve interactions between multiple self-interested parties. Economics and game theory offer a host of useful models and definitions to reason about such problems. The flow of ideas also travels in the other direction, and concepts from computer science are increasingly important in economics. This book grew out of the author's Stanford University course on algorithmic game theory, and aims to give students and other newcomers a quick and accessible introduction to many of the most important concepts in the field. The book also includes case studies on online advertising, wireless spectrum auctions, kidney exchange, and network management.
We live in a highly connected world with multiple self-interested agents interacting and myriad opportunities for conflict and cooperation. The goal of game theory is to understand these opportunities. This book presents a rigorous introduction to the mathematics of game theory without losing sight of the joy of the subject. This is done by focusing on theoretical highlights (e.g., at least six Nobel Prize winning results are developed from scratch) and by presenting exciting connections of game theory to other fields such as computer science (algorithmic game theory), economics (auctions and matching markets), social choice (voting theory), biology (signaling and evolutionary stability), and learning theory. Both classical topics, such as zero-sum games, and modern topics, such as sponsored search auctions, are covered. Along the way, beautiful mathematical tools used in game theory are introduced, including convexity, fixed-point theorems, and probabilistic arguments. The book is appropriate for a first course in game theory at either the undergraduate or graduate level, whether in mathematics, economics, computer science, or statistics. The importance of game-theoretic thinking transcends the academic setting—for every action we take, we must consider not only its direct effects, but also how it influences the incentives of others.
​This book both summarizes the basic theory of evolutionary games and explains their developing applications, giving special attention to the 2-player, 2-strategy game. This game, usually termed a "2×2 game” in the jargon, has been deemed most important because it makes it possible to posit an archetype framework that can be extended to various applications for engineering, the social sciences, and even pure science fields spanning theoretical biology, physics, economics, politics, and information science. The 2×2 game is in fact one of the hottest issues in the field of statistical physics. The book first shows how the fundamental theory of the 2×2 game, based on so-called replicator dynamics, highlights its potential relation with nonlinear dynamical systems. This analytical approach implies that there is a gap between theoretical and reality-based prognoses observed in social systems of humans as well as in those of animal species. The book explains that this perceived gap is the result of an underlying reciprocity mechanism called social viscosity. As a second major point, the book puts a sharp focus on network reciprocity, one of the five fundamental mechanisms for adding social viscosity to a system and one that has been a great concern for study by statistical physicists in the past decade. The book explains how network reciprocity works for emerging cooperation, and readers can clearly understand the existence of substantial mechanics when the term "network reciprocity" is used. In the latter part of the book, readers will find several interesting examples in which evolutionary game theory is applied. One such example is traffic flow analysis. Traffic flow is one of the subjects that fluid dynamics can deal with, although flowing objects do not comprise a pure fluid but, rather, are a set of many particles. Applying the framework of evolutionary games to realistic traffic flows, the book reveals that social dilemma structures lie behind traffic flow.
Game theory is the theory of social situations, and the majority of research into the topic focuses on how groups of people interact by developing formulas and algorithms to identify optimal strategies and to predict the outcome of interactions. Only fifty years old, it has already revolutionized economics and finance, and is spreading rapidly to a wide variety of fields. LQ Dynamic Optimization and Differential Games is an assessment of the state of the art in its field and the first modern book on linear-quadratic game theory, one of the most commonly used tools for modelling and analysing strategic decision making problems in economics and management. Linear quadratic dynamic models have a long tradition in economics, operations research and control engineering; and the author begins by describing the one-decision maker LQ dynamic optimization problem before introducing LQ differential games. Covers cooperative and non-cooperative scenarios, and treats the standard information structures (open-loop and feedback). Includes real-life economic examples to illustrate theoretical concepts and results. Presents problem formulations and sound mathematical problem analysis. Includes exercises and solutions, enabling use for self-study or as a course text. Supported by a website featuring solutions to exercises, further examples and computer code for numerical examples. LQ Dynamic Optimization and Differential Games offers a comprehensive introduction to the theory and practice of this extensively used class of economic models, and will appeal to applied mathematicians and econometricians as well as researchers and senior undergraduate/graduate students in economics, mathematics, engineering and management science.