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Combinatorial games are games of pure strategy involving two players, with perfect information and no element of chance. Starting from the very basics of gameplay and strategy, the authors cover a wide range of topics, from game algebra to special classes of games. Classic techniques are introduced and applied in novel ways to analyze both old and new games, several appearing for the first time in this book.
Authors: Celona, JohnNumerous step-by-step tutorials help the reader to learn quicklyProblems included at the end of each chapterIncludes complete examples of how to structure most common legal questionsThis book is the first in-depth guide to applying the philosophy, theory, and methods of decision analysis to creating and executing winning legal strategies. With explanations that progress from introductory to advanced and practice problems at the end of each chapter, this is a book the reader will want to use and refer to for years to come.
There is a widening gap between the current organizational reality and the tools and methods available to managers for addressing its challenges. Game Based Organization Design shows that one of the ways to bridge this gap is to introduce insights and approaches from video game design into the design of organizational systems. This book takes basic ideas such as games, play, and rules as the foundation for a new approach to organizational design and strategy formulation. Based on seven years of research and consulting work, this is the first time these original ideas have been made available in such a comprehensive and accessible manner to both executives and students of management.
Cycles, crises and innovation are the major economic forces that shape capitalist economies. Using a critical realist political economy approach, the analysis in this fine work is based on the works of Michal Kalecki and Joseph Schumpeter – both of whom identify these three dynamic forces as plotting the path of economic development. Jerry Courvisanos’ thought-provoking book examines how the rise of capital through investment enshrines innovation in profit and power which in turn determines the course of cycles and crises.
Planning of actions based on decision theory is a hot topic for many disciplines. Seemingly unlimited computing power, networking, integration and collaboration have meanwhile attracted the attention of fields like Machine Learning, Operations Research, Management Science and Computer Science.
Drawing on a wealth of archival material, including personal correspondence and diaries, Robert Leonard tells the fascinating story of the creation of game theory by Hungarian Jewish mathematician John von Neumann and Austrian economist Oskar Morgenstern. Game theory first emerged amid discussions of the psychology and mathematics of chess in Germany and fin-de-siècle Austro-Hungary. In the 1930s, on the cusp of anti-Semitism and political upheaval, it was developed by von Neumann into an ambitious theory of social organization.
Physicist and Ig Nobel Prize–winner Fisher (How to Dunk a Doughnut) explores how game theory illuminates social behavior in this lively study. Developed in the 1940s, game theory is concerned with the decisions people make when confronted with competitive situations, especially when they have limited information about the other players’ choices. Every competitive situation has a point called a Nash Equilibrium, in which parties cannot change their course of action without sabotaging themselves, and Fisher demonstrates that situations can be arranged so that the Nash Equilibrium is the best possible outcome for everyone.
This comprehensive textbook introduces readers to the principal ideas and applications of game theory, in a style that combines rigor with accessibility. Steven Tadelis begins with a concise description of rational decision making, and goes on to discuss strategic and extensive form games with complete information, Bayesian games, and extensive form games with imperfect information.
This advanced textbook covers the central topics in game theory and provides a strong basis from which readers can go on to more advanced topics. The subject matter is approached in a mathematically rigorous, yet lively and interesting way. New definitions and topics are motivated as thoroughly as possible. Coverage includes the idea of iterated Prisoner’s Dilemma (super games) and challenging game-playing computer programs.
Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems.
Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes.
Optical networks epitomize complex communication systems, and they comprise the Internet’s infrastructural backbone. The first of its kind, this book develops the mathematical framework needed from a control perspective to tackle various game-theoretical problems in optical networks. In doing so, it aims to help design control algorithms that optimally allocate the resources of these networks. With its fresh problem-solving approach, Game Theory in Optical Networks is a unique resource for researchers, practitioners, and graduate students in applied mathematics and systems/control engineering, as well as those in electrical and computer engineering.
Here at last is the fourth edition of the textbook that is required reading for economics students as well as those practising applied economics. Not only does it teach some of the basic econometric methods and the underlying assumptions behind them, but it also includes a simple and concise treatment of more advanced topics from spatial correlation to time series analysis. This book’s strength lies in its ability to present complex material in a simple, yet rigorous manner. This superb fourth edition updates identification and estimation methods in the simultaneous equation model.
This book provides a modular pricing framework which allows the valuation of interest-rate derivatives in a general jump-diffusion setup. Starting with a comparison of three Fourier-style pricing methodologies, the book covers the derivation of Fourier-transform based solutions for different interest-rate derivatives by using contour integration principles, the development of a IFFT-based pricing algorithm, and a detailed analysis of different jump-diffusion short-rate models.
Practice makes perfect. Therefore the best method of mastering models is working with them.This book contains a large collection of exercises and solutions which will help explain the statistics of financial markets. These practical examples are carefully presented and provide computational solutions to specific problems, all of which are calculated using R and Matlab. This study additionally looks at the concept of corresponding Quantlets, the name given to these program codes and which follow the name scheme SFSxyz123.T
Now in its fourth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods of evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to given problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic.F
When John Nash won the Nobel prize in economics in 1994, many people were surprised to learn that he was alive and well. Since then, Sylvia Nasar’s celebrated biography A Beautiful Mind, the basis of a new major motion picture, has revealed the man.
This collection of selected contributions gives an account of recent developments in dynamic game theory and its applications, covering both theoretical advances and new applications of dynamic games in such areas as pursuit-evasion games, ecology, and economics. Written by experts in their respective disciplines, the chapters include stochastic and differential games; dynamic games and their applications in various areas, such as ecology and economics; pursuit-evasion games; and evolutionary game theory and applications.
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