Managers are continually called on to make strategic decisions based on how someone else will act, and react, and this is exactly what game theory was invented to analyze. With the publication of John McMillan's 'Games, Strategies, and Managers, ' managers can now unlock the power of this bold way of thinking. The book strips away distracting details and provides insights into what is really going on in every negotiation and strategic decision.
This book on game theory introduces and develops the key concepts with a minimum of mathematics. Students are presented with empirical evidence, anecdotes and strategic situations to help them apply theory and gain a genuine insight into human behaviour. The book provides a diverse collection of examples and scenarios from history, literature, sports, crime, theology, war, biology, and everyday life. These examples come with rich context that adds real-world meat to the skeleton of theory. Each chapter begins with a specific strategic situation and is followed with a systematic treatment that gradually builds understanding of the concept.
The new edition of a widely used introduction to game theory and its applications, with a focus on economics, business, and politics. This widely used introduction to game theory is rigorous but accessible, unique in its balance between the theoretical and the practical, with examples and applications following almost every theory-driven chapter. In recent years, game theory has become an important methodological tool for all fields of social sciences, biology and computer science. This second edition of Strategies and Games not only takes into account new game theoretical concepts and applications such as bargaining and matching, it also provides an array of chapters on game theory applied to the political arena. New examples, case studies, and applications relevant to a wide range of behavioral disciplines are now included. The authors map out alternate pathways through the book for instructors in economics, business, and political science. The book contains four parts: strategic form games, extensive form games, asymmetric information games, and cooperative games and matching. Theoretical topics include dominance solutions, Nash equilibrium, Condorcet paradox, backward induction, subgame perfection, repeated and dynamic games, Bayes-Nash equilibrium, mechanism design, auction theory, signaling, the Shapley value, and stable matchings. Applications and case studies include OPEC, voting, poison pills, Treasury auctions, trade agreements, pork-barrel spending, climate change, bargaining and audience costs, markets for lemons, and school choice. Each chapter includes concept checks and tallies end-of-chapter problems. An appendix offers a thorough discussion of single-agent decision theory, which underpins game theory.
“I am hard pressed to think of another book that can match the combination of practical insights and reading enjoyment.”—Steven Levitt Game theory means rigorous strategic thinking. It’s the art of anticipating your opponent’s next moves, knowing full well that your rival is trying to do the same thing to you. Though parts of game theory involve simple common sense, much is counterintuitive, and it can only be mastered by developing a new way of seeing the world. Using a diverse array of rich case studies—from pop culture, TV, movies, sports, politics, and history—the authors show how nearly every business and personal interaction has a game-theory component to it. Mastering game theory will make you more successful in business and life, and this lively book is the key to that mastery.
This book explains why and how gaming-stimulation techniques have been used in Europe and the United States to improve decision quality on a special class of bewildering and threatening strategic problems that are described as strategic volcanoes or 'macr
Corporate finance and corporate strategy have long been seen as different sides of the same coin. Though both focus on the same broad problem, investment decision-making, the gap between the two sides--and between theory and practice--remains embarrassingly large. This book synthesizes cutting-edge developments in corporate finance and related fields--in particular, real options and game theory--to help bridge this gap. In clear, straightforward exposition and through numerous examples and applications from various industries, Han Smit and Lenos Trigeorgis set forth an extended valuation framework for competitive strategies. The book follows a problem-solving approach that synthesizes ideas from game theory, real options, and strategy. Thinking in terms of options-games can help managers address questions such as: When is it best to invest early to preempt competitive entry, and when to wait? Should a firm compete in R&D or adopt an accommodating stance? How does one value growth options or infrastructure investments? The authors provide a wide range of valuation examples, such as acquisition strategies, R&D investment in high-tech sectors, joint research ventures, product introductions in consumer electronics, infrastructure, and oil exploration investment. Representing a major step beyond standard real options or strategy analysis, and extending the power of real options and strategic thinking in a rigorous fashion, Strategic Investment will be an indispensable guide and resource for corporate managers, MBA students, and academics alike.
A clear, comprehensive introduction to the study of game theory. In the fourth edition, new real-world examples and compelling end-of-chapter exercises engage students with game theory.
Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H∞ game strategy, n-person cooperative and noncooperative game strategy are discussed for linear and nonlinear stochastic systems along with some computational algorithms developed to efficiently solve these game strategies.
