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Books > Science & Mathematics > Mathematics > Optimization > Game theory
As for film and literature, the horror genre has been very popular in the video game. The World of Scary Video Games provides a comprehensive overview of the videoludic horror, dealing with the games labelled as "survival horror" as well as the mainstream and independent works associated with the genre. It examines the ways in which video games have elicited horror, terror and fear since Haunted House (1981). Bernard Perron combines an historical account with a theoretical approach in order to offer a broad history of the genre, outline its formal singularities and explore its principal issues. It studies the most important games and game series, from Haunted House (1981) to Alone in the Dark (1992- ), Resident Evil (1996-present), Silent Hill (1999-present), Fatal Frame (2001-present), Dead Space (2008-2013), Amnesia: the Dark Descent (2010), and The Evil Within (2014). Accessibly written, The World of Scary Video Games helps the reader to trace the history of an important genre of the video game.
Cooperative game theory deals with situations where objectives of participants of the game are partially cooperative and partially conflicting. It is in the interest of participants to cooperate in the sense of making binding agreements to achieve the maximum possible benefit. When it comes to distribution of benefit/payoffs, participants have conflicting interests. Such situations are usually modelled as cooperative games. While the book mainly discusses transferable utility games, there is also a brief analysis of non-transferable utility games. Alternative solution concepts to cooperative game theoretic problems are presented in chapters 1-9 and the next four chapters present issues related to computations of solutions discussed in the earlier chapters. The proofs of all results presented in the book are quite explicit. Additionally the mathematical techniques employed in demonstrating the results will be helpful to those who wish to learn application of mathematics for solving problems in game theory.
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.
This book presents eleven classic papers by the late Professor Suzanne Scotchmer with introductions by leading economists and legal scholars. This book introduces Scotchmer's life and work; analyses her pioneering contributions to the economics of patents and innovation incentives, with a special focus on the modern theory of cumulative innovation; and describes her pioneering work on law and economics, evolutionary game theory, and general equilibrium/club theory. This book also provides a self-contained introduction to students who want to learn more about the various fields that Professor Scotchmer worked in, with a particular focus on patent incentives and cumulative innovation.
Rooted in a pedagogically successful problem-solving approach to linear algebra, the present work fills a gap in the literature that is sharply divided between elementary texts and books that are too advanced to appeal to a wide audience. It clearly develops the theoretical foundations of vector spaces, linear equations, matrix algebra, eigenvectors, and orthogonality, while simultaneously emphasizing applications and connections to fields such as biology, economics, computer graphics, electrical engineering, cryptography, and political science. Ideal as an introduction to linear algebra, the extensive exercises and well-chosen applications also make this text suitable for advanced courses at the junior or senior undergraduate level. Furthermore, it can serve as a colorful supplementary problem book, reference, or self-study manual for professional scientists and mathematicians. Complete with bibliography and index, "Essential Linear Algebra with Applications" is a natural bridge between pure and applied mathematics and the natural and social sciences, appropriate for any student or researcher who needs a strong footing in the theory, problem-solving, and model-building that are the subject's hallmark.
This book is devoted to new advances in all branches of mathematics, game theory and applications, and pure and applied algebra and geometry including mathematical formulation of NMR experimental parameters for diffusion magnetic resonance imaging; optimization of Kalman Filtering performance in received signal strength based mobile positioning; ORE extensions over near pseudo valuation rings; subset selection of treatments; rigorous kinetic analysis of the racket flick-motion in tennis for generating topspin and backspin and linear versus non-linear human operator modelling.
Dieses Buch zeigt an einfachen Beispielen, wozu mathematisches Verstandnis (neben reinen Rechenfertigkeiten) in den Fachern der Betriebs- und Volkswirtschaftslehre gebraucht wird, um oekonomische Prozesse analysieren zu koennen. Es beschreibt zunachst die zentrale Bedeutung von Funktionen, fuhrt in lockerer Sprache in wissenschaftliches Modelldenken ein und erlautert die wichtige Abwagung zwischen Einfachheit und Genauigkeit der Modelle. Danach wird verdeutlicht, wie aus der Schule bekannte mathematische Konzepte (wie Exponential- und Logarithmusfunktionen, Ableitungen, Gleichungssysteme, Abstandsmasse und Wahrscheinlichkeiten) zu kraftvollen Verfahren zur Loesung wirtschaftswissenschaftlicher Probleme werden. Das Buch moechte Studienanfangern und interessierten Schulerinnen und Schulern elementare Grundfertigkeiten und Motivation geben, sich mit Mathe im Anwendungsbereich der OEkonomie zu beschaftigen.
This volume brings together papers of well-known specialists in game theory and adjacent problems. It presents the basic results in dynamic games, stochastic games, applications of game theoretical methods in ecology and economics and the methodological aspects of game theory.
"Optimierung" ist ein grundlegender Vorlesungszyklus in der
angewandten Mathematik. Es geht dabei um die genaue und schnelle
Berechnung der besten Entscheidung, wenn eine grosse Menge von
Entscheidungsmoglichkeiten zur Auswahl steht. Mit diesem Buch liegt
eine Sammlung von Ubungs- und Klausuraufgaben mit kompletten,
mathematischen Losungen vor, die in langjahriger Lehrtatigkeit
zusammengetragen wurde. Eine umfassende Sammlung, die das
Bachelorwissen abdeckt. Sie eignet sich als Ubungsmaterial fur
Studierende und als Anregungs- und Auswahlfundus fur
Aufgabensteller. Die Aufgaben gehen direkt auf das Lehrniveau ein -
kein Uberspringen von Schwierigkeiten - und sind so aufbereitet,
dass eine Erfolgskontrolle fur die Studierenden moglich ist.
Mathematik gehoert zu den Grundfachern fur jeden Studierenden der Wirtschafts- und Sozialwissenschaften. Er benoetigt Kenntnisse der Analysis, der Linearen Algebra sowie der Funktion einer und mehrerer Variablen. Das zweibandige Taschenbuch, hervorgegangen aus Vorlesungen des Autors an der Universitat Regensburg, stellt den Studienstoff sehr anschaulich dar, unterstutzt durch eine Vielzahl von Beispielen und Abbildungen. Insbesondere wird auf die Anwendung verschiedener mathematischer Verfahren, auf konkrete Fragestellungen eingegangen. Das Buch richtet sich an alle Studenten der Wirtschafts- und Sozialwissenschaften an Unversitaten und Fachhochschulen sowie an den Praktiker, der sein Mathematikwissen auffrischen moechte. Es ist gleichermassen geeignet als Begleitbuch zu einer Vorlesung und zum Selbststudium. Fur das Verstandnis sind nur Kenntnisse der Oberstufenmathematik notwendig.
This volume brings together papers of well-known specialists in game theory and adjacent problems. It presents the basic results in dynamic games, stochastic games, applications of game theorectical methods in ecology and economics and the methodological aspects of game theory.
This book brings together papers of well-known specialists in game theory and adjacent problems. It presents the basic results in dynamic games, stochastic games, applications of game theoretical methods in ecology and economics and methodological aspects of game theory.
Addressed to 2nd- and 3rd-year students, this work by a
world-famous teacher skillfully spans the pure and applied
branches, so that applied aspects gain in rigor while pure
mathematics loses none of its dignity. Equally essential as a text,
a reference, or simply as a brilliant mathematical exercise. 1971
edition.
Un conjunto ameno de problemas, pasatiempos y enigmas que introducen, en forma de acertijos, todos los conceptos basicos de la logica.
Un divertido libro de juegos y acertijos logicos que se diferencia de la mayaria de las obras de este genero en que los problemas que presenta como amenos pasatiempos no son intrascendentes, pues introducen al lector en importantes cuestiones de la logica, la teoria la teoria de conjuntos y la teoria de la computabilidad.
This book brings together papers of well-known specialists in game theory and adjacent problems. It presents the basic results in dynamic games, stochastic games, applications of game theoretical methods in ecology and economics and methodological aspects of game theory. Contents: Preface; Numerical Studies on Paradoxes in Non-cooperative Distributed Computer Systems; On the Borel and von Neumann Poker Models; Axiomatic Characterisation of Boolean Vote Aggregators; A Fishery Game Model with Age-Distributed Population: Reserved Territory Approach; The Effects of Incomplete Information in Stochastic Common-Stock Harvesting Games; Two-level Imitative Problems in Stock Markets and Bayesian Estimation of Credibility Parameters; On Nash Equilibria in Stochastic Games of Capital Accumulation; Cooperative Solution for Games with Random Duration; Best-choice Games where Arbitration Comes in; A 'Quantitative' Minimax Theorem; On Bruss' Stopping Problem with General Gain Function; Semi-Definite Programming Approach for Bandwidth Allocation and Routing in Networks; Cournot Equilibrium and Competition via Supply Functions; Some Results on Convergence of Learning Algorithms for Games on Networks
Game theory, particularly the use of repeated games, N-person games, and incomplete information games have been popular research techniques in political science, sociology, and managementùbut difficult for new social researchers to useùuntil now. Aimed at making these topics accessible to all social scientist, Game Theory Topics shows how game theory can be productively applied to problems in the social sciences. Using a common social science gameùChickenùto illustrate game theory concepts, the authors introduce readers to games of incomplete information; how to build uncertainty into game theoretic models; the concept of Bayesian Nash equilibrium; and the role of repetition in game theory, including how game theoretic models can easily accommodate many players. Throughout the book, the authors use applications to social science problems to illustrate the points being developed in each chapter.
Monte Carlo Simulation is a method of evaluating substantive hypotheses and statistical estimators by developing a computer algorithm to simulate a population, drawing multiple samples from this pseudo-population, and evaluating estimates obtained from these samples. Christopher Z. Mooney explains the logic behind Monte Carlo Simulation and demonstrates its uses for social and behavioral research in conducting inference using statistics with only weak mathematical theory, testing null hypotheses under a variety of plausible conditions, assessing the robustness of parametric inference to violations of its assumptions, assessing the quality of inferential methods, and comparing the properties of two or more estimators. In addition, Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and illustrates these principles using several research examples. Monte Carlo Simulation will enable researchers to effectively execute Monte Carlo Simulation and to interpret the estimated sampling distribution generated from its use.
Game Theory & Applications
The concepts of game theory (rationality etc) now pervade much of social science, so that Professor Zagare's exposition of game theory and its applications (intended to "convert the unconverted and initiate the uninitiated") is very welcome. He provides methods for analysing the structure of the game; considers zero and nonzero-sum games and the fundamental 'minimax theorem'; and investigates games with more than two players, including the possibility of coalitions between players. Diverse examples give the reader an idea of how the theory can be applied to a wide range of situations.
Learn how to analyse and manage evolutionary and sequential user behaviours in modern networks, and how to optimize network performance by using indirect reciprocity, evolutionary games, and sequential decision making. Understand the latest theory without the need to go through the details of traditional game theory. With practical management tools to regulate user behaviour, and simulations and experiments with real data sets, this is an ideal tool for graduate students and researchers working in networking, communications, and signal processing.
LEGOfied: Building Blocks as Media provides a multi-faceted exploration of LEGO fandom, addressing a blindspot in current accounts of LEGO and an emerging area of interest to media scholars: namely, the role of hobbyist enthusiasts and content producers in LEGO's emergence as a ubiquitous transmedia franchise. This book examines a range of LEGO hobbyism and their attendant forms of mediated self-expression and identity (their "technicities"): artists, aspiring Master Builders, collectors, and entrepreneurs who refashion LEGO bricks into new commodities (sets, tchotchkes, and minifigures). The practices and perspectives that constitute this diverse scene lie at the intersection of multiple transformations in contemporary culture, including the shifting relationships between culture industries and the audiences that form their most ardent consumer base, but also the emerging forms of entrepreneurialism, professionalization, and globalization that characterize the burgeoning DIY movement. What makes this a compelling project for media scholars is its mutli-dimensional articulation of how LEGO functions not just as a toy, cultural icon, or as transmedia franchise, but as a media platform. LEGOfied is centered around their shared experiences, qualitative observations, and semi-structured interviews at a number of LEGO hobbyist conventions. Working outwards from these conventions, each chapter engages additional modes of inquiry-media archaeology, aesthetics, posthumanist philosophy, feminist media studies, and science and technology studies-to explore the origins, permutations and implications of different aspects of the contemporary LEGO fandom scene.
Winner of the 2017 De Groot Prize awarded by the International Society for Bayesian Analysis (ISBA) A relatively new area of research, adversarial risk analysis (ARA) informs decision making when there are intelligent opponents and uncertain outcomes. Adversarial Risk Analysis develops methods for allocating defensive or offensive resources against intelligent adversaries. Many examples throughout illustrate the application of the ARA approach to a variety of games and strategic situations. Focuses on the recent subfield of decision analysis, ARA Compares ideas from decision theory and game theory Uses multi-agent influence diagrams (MAIDs) throughout to help readers visualize complex information structures Applies the ARA approach to simultaneous games, auctions, sequential games, and defend-attack games Contains an extended case study based on a real application in railway security, which provides a blueprint for how to perform ARA in similar security situations Includes exercises at the end of most chapters, with selected solutions at the back of the book The book shows decision makers how to build Bayesian models for the strategic calculation of their opponents, enabling decision makers to maximize their expected utility or minimize their expected loss. This new approach to risk analysis asserts that analysts should use Bayesian thinking to describe their beliefs about an opponent's goals, resources, optimism, and type of strategic calculation, such as minimax and level-k thinking. Within that framework, analysts then solve the problem from the perspective of the opponent while placing subjective probability distributions on all unknown quantities. This produces a distribution over the actions of the opponent and enables analysts to maximize their expected utilities.
The amazing story of one of the greatest math problems of all time
and the reclusive genius who solved it |
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