The rapid developments in new communication technologies have facilitated the popularization of digital games, which has translated into an exponential growth of the game industry in recent decades. The ubiquitous presence of digital games has resulted in an expansion of the applications of these games from mere entertainment purposes to a great variety of serious purposes. In this edited volume, we narrow the scope of attention by focusing on what game theorist Ian Bogost has called 'persuasive games', that is, gaming practices that combine the dissemination of information with attempts to engage players in particular attitudes and behaviors. This volume offers a multifaceted reflection on persuasive gaming, that is, on the process of these particular games being played by players. The purpose is to better understand when and how digital games can be used for persuasion by further exploring persuasive games and some other kinds of persuasive playful interaction as well. The book critically integrates what has been accomplished in separate research traditions to offer a multidisciplinary approach to understanding persuasive gaming that is closely linked to developments in the industry by including the exploration of relevant case studies.

Game theory has emerged as a powerful new tool in environmental economics, especially in the study of transboundary pollution problems such as global warming and acid rain. This is the first book specifically concerned with this expanding field and addresses key issues in the application of game theory to environmental economics. The book features an impressive list of leading authorities who begin by providing a concise introduction and overview of game theory concepts. They then present an examination of methodological issues, and finally apply game theory to a variety of environmental management problems. Included in the analysis are the following issues: cooperation versus selfish behaviour and the formation and stability of coalitions asymmetric information, commitment and fairness, and irreversibility and uncertainty international environmental externalities and international pollution control agreements cooperation versus free riding in international affairs the reduction of greenhouse gas emissions, regulation of nuclear power and control of acid rain best choice policy instruments. This book will be highly relevant for the growing number of undergraduate and postgraduate courses in environmental economics, environmental management and public policy. It will also be of interest both to academics researching in these areas and to practitioners in government and international agencies.

In economics, most noncooperative game theory has focused on equilibrium in games, especially Nash equilibrium and its refinements. The traditional explanation for when and why equilibrium arises is that it results from analysis and introspection by the players in a situation where the rules of the game, the rationality of the players, and the players' payoff functions are all common knowledge. Both conceptually and empirically, this theory has many problems. In The Theory of Learning in Games Drew Fudenberg and David Levine develop an alternative explanation that equilibrium arises as the long-run outcome of a process in which less than fully rational players grope for optimality over time. The models they explore provide a foundation for equilibrium theory and suggest useful ways for economists to evaluate and modify traditional equilibrium concepts.

"A classic introduction [to game theory] for the general reader."-Rob Norton, Fortune

Whether your primary interest is to improve your card game or put together a political coalition, here you will be enjoyably instructed in an approach to strategy that has caught the imagination of a generation of readers.

John McDonald looks at the elusive thread of opposition and conflict that runs through human interrelationships, from the striking of a bargain to the clash of war. He discusses poker; game theory, as it applies to games but mainly to business; the strategies of buyers and sellers; and finally military and other applications.

"Remarkably fine."-John Kenneth Galbraith

Evolution and learning in games is a topic of current intense interest. Evolution theory is widely viewed as one of the most promising approaches to understanding learning, bounded rationality, and change in complex social environments. This graduate textbook covers the recent developments with an emphasis on economic contexts and applications. Covering both deterministic and stochastic evolutionary dynamics which play an important role in evolutionary processes, it also includes the recent stochastic evolutionary framework that has been developed (and applied widely) in the last few years. The recent boom experienced by this discipline makes this book's systematic presentation of its essential contributions, using mathematical knowledge only when required, especially useful for any newcomer to the field. Packed with numerous economic applications of the theory, with suggestions for new avenues of research, it will prove invaluable to postgraduate economists.

Economists often look at markets as given, and try to make predictions about who will do what and what will happen in these markets Market design, by contrast, does not take markets as given; instead, it combines insights from economic and game theory together with common sense and lessons learned from empirical work and experimental analysis to aid in the design and implementation of actual markets In recent years the field has grown dramatically, partially because of the successful wave of spectrum auctions in the US and in Europe, which have been designed by a number of prominent economists, and partially because of the increase use of the Internet as the platform over which markets are designed and run There is now a large number of applications and a growing theoretical literature. The Handbook of Market Design brings together the latest research from leading experts to provide a comprehensive description of applied market design over the last two decades In particular, it surveys matching markets: environments where there is a need to match large two-sided populations to one another, such as medical residents and hospitals, law clerks and judges, or patients and kidney donors It also examines a number of applications related to electronic markets, e-commerce, and the effect of the Internet on competition between exchanges

The Great War is an immense, confusing and overwhelming historical conflict - the ideal case study for teaching game theory and international relations. Using thirteen historical puzzles, from the outbreak of the war and the stability of attrition, to unrestricted submarine warfare and American entry into the war, this book provides students with a rigorous yet accessible training in game theory. Each chapter shows, through guided exercises, how game theoretical models can explain otherwise challenging strategic puzzles, shedding light on the role of individual leaders in world politics, cooperation between coalitions partners, the effectiveness of international law, the termination of conflict, and the challenges of making peace. Its analytical history of World War I also surveys cutting edge political science research on international relations and the causes of war. Written by a leading game theorist known for his expertise of the war, this textbook includes useful student features such as chapter key terms, contemporary maps, a timeline of events, a list of key characters and additional end-of-chapter game-theoretic exercises.

FT BUSINESS BOOK OF THE MONTH 'A comprehensive, concise, and practical guide that will enable anyone, in any situation, to develop their strategic thinking' Tiffani Bova, Chief Growth Evangelist, Salesforce, WSJ bestselling author, Growth IQ 'A must read for everyone who ever deals with complex important challenges. There are many take-away gems here that will help you push through the knotty centre of hard-to-resolve problems. Highly recommended!', Richard Rumelt, author of Good Strategy, Bad Strategy Being strategic is a critical skill. It enables you to solve problems on a day-to-day basis while also keeping an eye on the long term, anticipating opportunities and mitigating threats along the way. Fred Pelard has been teaching strategic thinking to executives at all levels at leading companies around the world for almost 20 years. How to Be Strategic is his accessible and thorough guide to strategic thinking in any situation. It contains 12 smartly illustrated, workable methodologies from leading experts like Eric Ries, Chan Kim, and Barbara Minto, and will help you find your own path to the right solution every time. 'A wonderful and inspirational look into wide-ranging frameworks and theories to spark new thinking and strategy' Tom Goodwin, author of Digital Darwinism and Head of Futures and Insight at Publicis Groupe 'Practical and comprehensive' Roeland Assenberg, Director, Strategy and Banking, Monitor Deloitte Netherlands

Game theory is a fascinating subject. We all know many entertaining games, such as chess, poker, tic-tac-toe, bridge, baseball, computer games - the list is quite varied and almost endless. In addition, there is a vast area of economic games, discussed in Myerson (1991) and Kreps (1990), and the related political games [Ordeshook (1986), Shubik (1982), and Taylor (1995)]. The competition between firms, the conflict between management and labor, the fight to get bills through congress, the power of the judiciary, war and peace negotiations between countries, and so on, all provide examples of games in action. There are also psychological games played on a personal level, where the weapons are words, and the payoffs are good or bad feelings [Berne (1964)]. There are biological games, the competition between species, where natural selection can be modeled as a game played between genes [Smith (1982)]. There is a connection between game theory and the mathematical areas of logic and computer science. One may view theoretical statistics as a two-person game in which nature takes the role of one of the players, as in Blackwell and Girshick (1954) and Ferguson (1968).Games are characterized by a number of players or decision makers who interact, possibly threaten each other and form coalitions, take actions under uncertain conditions, and finally receive some benefit or reward or possibly some punishment or monetary loss. In this text, we present various mathematical models of games and study the phenomena that arise. In some cases, we will be able to suggest what courses of action should be taken by the players. In others, we hope simply to be able to understand what is happening in order to make better predictions about the future.

Why can't we think straight about the big issues that face our society? Why are we taken in by the phony arguments of populists and scammers? Where are the philosophers hiding when we need them to tell us what makes sense? They are hiding because they have nothing to say. The airy-fairy answers offered by writers of footnotes to Plato were wrong two thousand years ago, and they are still wrong now. All this time, we should have been listening to a different but equally venerable branch of matter-of-fact philosophy pioneered by the much-maligned philosopher Epicurus. His ideas were suppressed in ancient times as heretical, but the development of the theory of games and decisions makes it timely for those of us who care about science to revive his style of thinking-not just about the world around us but about ourselves as well. The price of transferring our allegiance to Epicurus and his modern followers is that we can no longer enjoy the luxury of being told what we want to hear. It would be nice if we were really equipped with a hotline to a metaphysical world of transcendental ideals, but the truth is that we are just the flotsam left behind on the beach when the evolutionary tide went out, and we have to get real about what will and will not work for our imperfect species before it is too late. This book is an attempt to point the way. It has no equations and very little jargon; nor does it pull any punches, either in explaining how game theory works or in exposing the follies of famous metaphysicians.

Statische Spiele mit vollstandiger Information.- Dynamische Spiele mit vollstandiger Information.- Statische Spiele mit unvollstandiger Information.- Dynamische Spiele mit unvollstandiger Information.- Spiele ohne Information.- Kooperative Spieltheorie.- Spiele mit fehlerhaften Strategien.

Although numerical approximation and statistical inference are traditionally covered as entirely separate subjects, they are intimately connected through the common purpose of making estimations with partial information. This book explores these connections from a game and decision theoretic perspective, showing how they constitute a pathway to developing simple and general methods for solving fundamental problems in both areas. It illustrates these interplays by addressing problems related to numerical homogenization, operator adapted wavelets, fast solvers, and Gaussian processes. This perspective reveals much of their essential anatomy and greatly facilitates advances in these areas, thereby appearing to establish a general principle for guiding the process of scientific discovery. This book is designed for graduate students, researchers, and engineers in mathematics, applied mathematics, and computer science, and particularly researchers interested in drawing on and developing this interface between approximation, inference, and learning.

Diese Starthilfe zur Finanzmathematik vermittelt die grundlegenden Formeln, Methoden und Ideen der klassischen Finanzmathematik, ohne allzu sehr ins Detail zu gehen und so, dass man mit durchschnittlichen mathematischen Schulkenntnissen dem Text folgen kann. Das Kernstuck bilden Zins- und Zinseszinsrechnung, Rentenrechnung, Tilgungsrechnung und Kursrechnung. Auch verwandte Gebiete wie Abschreibungen und Investitionsrechnung werden aus mathematischer Sicht behandelt. Eine Vielzahl praktischer Beispiele macht das Buch interessant und anschaulich. Komplettiert wird der Band durch einen Ausblick auf aktuelle Fragestellungen aus Investment Banking und Portfoliomanagement. In dieser Neuauflage wurden zu Beginn eines jeden Kapitels Lernziele formuliert und typische Problemstellungen aufgezeigt, zu denen am Kapitelende Loesungen angegeben sind. Ferner wurden mehr Abbildungen zur besseren Veranschaulichung der mathematischen Zusammenhange aufgenommen.

Diese Formelsammlung ist gezielt auf die Bedurfnisse des Studiums der Wirtschaftswissenschaften an Universitaten und Fachhochschulen zugeschnitten. Sie enthalt in komprimierter, ubersichtlicher Form das wesentliche Grundwissen der Mathematik, Finanzmathematik und Statistik, das in den Lehrveranstaltungen des Grundstudiums wirtschaftswissenschaftlicher Studiengange benoetigt wird. In der vorliegenden 8., grundlich durchgesehenen Auflage wurden zahlreiche Erganzungen vorgenommen. Diese betreffen u. a. die Kapitel zur Finanzmathematik, zur linearen Optimierung, zu Funktionen einer unabhangigen Variablen und zur linearen Algebra sowie oekonomische Anwendungen der Differentialrechnung, wie etwa Wachstumsbegriffe von Funktionen. Ferner wurde das Sachwortverzeichnis nochmals erweitert, um das Auffinden von Formeln und Begriffen zu erleichtern.

Dieses wirtschaftsmathematische UEbungsbuch soll zur Festigung und Vertiefung des wirtschaftsmathematischen Basiswissens und -koennens beitragen. Das Buch ist eigenstandig nutzbar, aber auch eine ideale Erganzung zu dem Lehrbuch "Einfuhrung in die angewandte Wirtschaftsmathematik" des Autors. Es ist eine wichtige Lernhilfe, die die Examensvorbereitungen unterstutzt, fur Hoererinnen und Hoerer der Grundvorlesungen in Wirtschaftsmathematik und zum Selbststudium gut geeignet. Die Neuauflage wurde durch umfangreiches UEbungs- und Testmaterial aus dem "Algebra-Bruckenkurs" wesentlich erweitert.

The principles of game theory apply to a wide range of topics in biology. This book presents the central concepts in evolutionary game theory and provides an authoritative and up-to-date account. The focus is on concepts that are important for biologists in their attempts to explain observations. This strong connection between concepts and applications is a recurrent theme throughout the book which incorporates recent and traditional ideas from animal psychology, neuroscience, and machine learning that provide a mechanistic basis for behaviours shown by players of a game. The approaches taken to modelling games often rest on idealized and unrealistic assumptions whose limitations and consequences are not always appreciated. The authors provide a novel reassessment of the field, highlighting how to overcome limitations and identifying future directions. Game Theory in Biology is an advanced textbook suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of behavioural ecology and evolutionary biology. It will also be of relevance to a broader interdisciplinary audience including psychologists and neuroscientists.

Unternehmenswert entsteht durch Identifikation, Steuerung und Ausubung realer Optionen. In einem Dreischritt beleuchtet das Buch ein breites Spektrum von theoretischen Grundlagen, praktischen Beispielen und kunftigen Entwicklungsmoglichkeiten des Realoptionsansatzes. Neben die Darstellung ausgefeilter Methoden zur Nutzung von Handlungsflexibilitat tritt eine Fulle von Beispielen aus dem unternehmerischen Alltag der Fuhrungskrafte internationaler Unternehmen. Schliesslich werden Perspektiven eroffnet fur die weitere Durchsetzung des Realoptionsansatzes als anerkannter Entscheidungshilfe bei Investitionen in einem von Unsicherheit gepragten Umfeld. Mit realen Optionen konnen die Entscheidungstrager flexibel und kompetent auf Unsicherheit reagieren und von Risiken profitieren."

Kompakt und verstandlich gelingt es dem Autor den Leser in die Methoden zur Untersuchung und Bewertung von Finanzderivaten einzufuhren. So erlangen Sie ein vertieftes Verstandnis fur die faszinierende Welt der Finanzmarkte."

Eine integrierte Einfuhrung in die Mathematik, die vom Konkreten zum Allgemeinen aufsteigt, auf Schubladen wie "Lineare Algebra'' und "Analysis'' verzichtet und die (fast) alle Beweise enthalt. Die "Stochastik" wird auch von Anfang an einbezogen. Als Leser kommen besonders Studierende des Wirtschaftsingenieurwesens und der Wirtschaftswissenschaften, aber auch Studierende der Wirtschaftsmathematik (Studiengang innerhalb der Mathematik) infrage. Auch Studierende neuer Studiengange wie Bachelor in Mathematik und sogar des klassischen Diplom-Studiengangs Mathematik werden das Buch mit Gewinn lesen, denn eine solche integrierte Stoffauswahl und -zusammenstellung fehlt bisher.
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La finanza moderna presenta problemi sempre diversi in seguito al continuo sviluppo di nuovi strumenti finanziari. Attraverso l utilizzo del software libero Scilab, nel volume si applicano le moderne teorie economico-finanziarie allo studio di casi concreti sui mercati finanziari (attraverso dati liberamente disponibili su internet). Nel volume si trovano numerosi listati di programma che consentono di avere a disposizione una libreria piuttosto articolata di strumenti per la misurazione e la gestione del rischio. Ogni lettore, poi, potra creare delle funzioni personalizzate, in base alle sue esigenze, modificando opportunamente quanto gia impostato nel volume. L'opera si rivolge a due grandi classi di utenti: gli studenti e coloro che lavorano presso investitori istituzionali. Tutti i corsi che trattano di finanza dei mercati troverebbero in questo volume un buon compendio per mostrare immediate applicazioni informatiche della teoria finanziaria. Il libro e disseminato di esempi tratti dalla realta finanziaria e presenta numerosi programmi per misurare e gestire il rischio sui mercati finanziari. Gli argomenti piu rilevanti sono i seguenti: 1) simulazione di processi stocastici, 2) modelli dei tassi di interesse, 3) teorie di portafoglio (media-varianza e con expected shortfall-CVAR, 4) misurazione del rischio (misure coerenti, misure spettrali), 5) prezzatura di titoli derivati. Si presentano le funzioni per risolvere problemi di programmazione lineare e quadratica. Si applicano, inoltre, metodi dei minimi quadrati e della massima verosimiglianza. Operando con tali strumenti e su dati finanziari liberamente disponibili su internet, il lettore sara in grado di osservare direttamente le applicazioni alla realta finanziaria dei principali modelli di finanza teorica.

Naciye Akca ermittelt die Matrix-Auktion als diejenige Auktionsform, die fur den speziellen Anwendungs-kontext der Versteigerung von Treibhausgas-Emissionsrechten und Treibhausgas-Emissionsgutschriften im Rahmen einer nationalen Reallokation am besten geeignet ist."

L'objectif et l'originalite de ce livre est de presenter les differents aspects et methodes utilises dans la resolution des problemes d'optimisation stochastique avec en vue des applications plus specifiques a la finance: gestion de portefeuille, couverture d'options, investissement optimal.
Nous avons inclus certains developpements recents sur le sujet sans chercher a priori la plus grande generalite. Nous avons voulu une exposition graduelle des methodes mathematiques en presentant d'abord les idees intuitives puis en enoncant precisement les resultats avec des demonstrations completes et detaillees.
Nous avons aussi pris soin d'illustrer chacune des methodes de resolution sur de
nombreux exemples issus de la finance. Nous esperons ainsi que ce livre puisse etre utile aussi bien pour des etudiants que pour des chercheurs du monde academique ou professionnel interesses par l'optimisation et le controle stochastique appliques a la finance.

Les buts principaux de cet ouvrage qui comble un vide sont de:

- donner les concepts et r sultats fondamentaux sur les ensembles ordonn?'s finis,

- pr senter leurs usages dans des domaines vari?'s (de la RO ou l IA la micro- conomie),

- signaler un certain nombre de r sultats et de recherches en cours.

Eine integrierte und inhaltlich neu strukturierte Einfuhrung in die Hohere Mathematik, die vom Konkreten zum Allgemeinen aufsteigt, auf Schubladen wie "Lineare Algebra'' und "Analysis'' verzichtet und die (fast) alle Beweise enthalt. Die Stochastik wird auch von Anfang an einbezogen.
Als Leser kommen nicht nur Studierende der Wirtschaftswissenschaften, besonders des Wirtschaftsingenieurwesens, sondern auch Studierende der Wirtschaftsmathematik infrage. Auch Studierende neuer Studiengange wie Bachelor in Mathematik und sogar des klassischen Diplomstudiengangs Mathematik werden das Buch mit Gewinn lesen. Im Vergleich zur ersten Auflage wurden einige Umstellungen und Erganzungen, insbesondere im Kapitel Differentialrechnung, vorgenommen sowie zusatzliche Graphiken eingefugt.