Acyclic Gambling Games
Author | : Rida Laraki |
Publisher | : |
Total Pages | : 33 |
Release | : 2018 |
Genre | : |
ISBN | : |
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Author | : Rida Laraki |
Publisher | : |
Total Pages | : 33 |
Release | : 2018 |
Genre | : |
ISBN | : |
Author | : Stewart Culin |
Publisher | : |
Total Pages | : |
Release | : 1891 |
Genre | : |
ISBN | : |
Author | : Nicolo Cesa-Bianchi |
Publisher | : Cambridge University Press |
Total Pages | : 4 |
Release | : 2006-03-13 |
Genre | : Computers |
ISBN | : 113945482X |
This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.
Author | : Diederik Aerts |
Publisher | : Frontiers Media SA |
Total Pages | : 170 |
Release | : 2016-06-26 |
Genre | : Psychology |
ISBN | : 2889198766 |
Traditional approaches to cognitive psychology correspond with a classical view of logic and probability theory. More specifically, one typically assumes that cognitive processes of human thought are founded on the Boolean structures of classical logic, while the probabilistic aspects of these processes are based on the Kolmogorovian structures of classical probability theory. However, growing experimental evidence indicates that the models founded on classical structures systematically fail when human decisions are at stake. These experimental deviations from classical behavior have been called `paradoxes’, `fallacies’, `effects’ or `contradictions’, depending on the specific situation where they appear. But, they involve a broad spectrum of cognitive and social science domains, ranging from conceptual combination to decision making under uncertainty, behavioral economics, and linguistics. This situation has constituted a serious drawback to the development of various disciplines, like cognitive science, linguistics, artificial intelligence, economic modeling and behavioral finance. A different approach to cognitive psychology, initiated two decades ago, has meanwhile matured into a new domain of research, called ‘quantum cognition’. Its main feature is the use of the mathematical formalism of quantum theory as modeling tool for these cognitive situations where traditional classically based approaches fail. Quantum cognition has recently attracted the interest of important journals and editing houses, academic and funding institutions, popular science and media. Specifically, within a quantum cognition approach, one assumes that human decisions do not necessarily obey the rules of Boolean logic and Kolmogorovian probability, and can on the contrary be modeled by the quantum-mechanical formalism. Different concrete quantum-theoretic models have meanwhile been developed that successfully represent the cognitive situations that are classically problematical, by explaining observed deviations from classicality in terms of genuine quantum effects, such as `contextuality’, `emergence’, `interference’, `superposition’, `entanglement’ and `indistinguishability’. In addition, the validity of these quantum models is convincingly confirmed by new experimental tests. We also stress that, since the use of a quantum-theoretic framework is mainly for modeling purposes, the identification of quantum structures in cognitive processes does not presuppose (without being incompatible with it) the existence of microscopic quantum processes in the human brain. In this Research Topic, we review the major achievements that have been obtained in quantum cognition, by providing an accurate picture of the state-of-the-art of this emerging discipline. Our overview does not pretend to be either complete or exhaustive. But, we aim to introduce psychologists and social scientists to this challenging new research area, encouraging them, at the same time, to consider its promising results. It is our opinion that, if continuous progress in this domain can be realized, quantum cognition can constitute an important breakthrough in cognitive psychology, and potentially open the way towards a new scientific paradigm in social science.
Author | : |
Publisher | : |
Total Pages | : 386 |
Release | : 1966 |
Genre | : Engineering |
ISBN | : |
Author | : Douglas E. Ensley |
Publisher | : John Wiley & Sons |
Total Pages | : 704 |
Release | : 2005-10-07 |
Genre | : Mathematics |
ISBN | : 0471476021 |
Did you know that games and puzzles have given birth to many of today's deepest mathematical subjects? Now, with Douglas Ensley and Winston Crawley's Introduction to Discrete Mathematics, you can explore mathematical writing, abstract structures, counting, discrete probability, and graph theory, through games, puzzles, patterns, magic tricks, and real-world problems. You will discover how new mathematical topics can be applied to everyday situations, learn how to work with proofs, and develop your problem-solving skills along the way. Online applications help improve your mathematical reasoning. Highly intriguing, interactive Flash-based applications illustrate key mathematical concepts and help you develop your ability to reason mathematically, solve problems, and work with proofs. Explore More icons in the text direct you to online activities at www.wiley.com/college/ensley. Improve your grade with the Student Solutions Manual. A supplementary Student Solutions Manual contains more detailed solutions to selected exercises in the text.
Author | : Daniel King |
Publisher | : Academic Press |
Total Pages | : 294 |
Release | : 2018-07-18 |
Genre | : Psychology |
ISBN | : 0128129255 |
Internet Gaming Disorder: Theory, Assessment, Treatment, and Prevention is an informative and practical introduction to the topics of Internet gaming disorder and problematic gaming. This book provides mental health clinicians with hands-on assessment, prevention, and treatment techniques for clients with problematic gaming behaviors and Internet gaming disorder. It provides an overview of the existing research on epidemiology, risk and protective factors, and discusses the distinct cognitive features that distinguish gaming from gambling and other related activities and disorders. Clinicians will find interest in discussion of the latest developments in cognitive-behavioral approaches to gaming disorder as well as the best structure for clinical interviews. Included in clinical sections are details of the key indicators of harm and impairment associated with problem gaming and how these might present in clinical cases. Internet Gaming Disorder is strongly evidence-based, draws extensively upon the latest international research literature, and provides insights into the likely future developments in this emerging field both in terms of technological development and new research approaches. Discusses the conceptual basis of Internet gaming disorder as a behavioral addiction Provides screening approaches for measuring excessive gaming Details a structured clinical interview approach for assessing gaming disorder Provides evidence-based clinical strategies for prevention and treatment Covers cognitive behavioral therapy and harm reduction strategies
Author | : Leo P. Chall |
Publisher | : |
Total Pages | : 742 |
Release | : 1995 |
Genre | : Sociology |
ISBN | : |
Author | : Robert J. Aumann |
Publisher | : MIT Press |
Total Pages | : 372 |
Release | : 1995 |
Genre | : Business & Economics |
ISBN | : 9780262011471 |
The basic model studied throughout the book is one in which players ignorant about the game being played must learn what they can from the actions of the others.
Author | : Howard M. Taylor |
Publisher | : Academic Press |
Total Pages | : 410 |
Release | : 2014-05-10 |
Genre | : Mathematics |
ISBN | : 1483269272 |
An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which predicts a set of possible outcomes weighed by their likelihoods or probabilities. This text then provides exercises in the applications of simple stochastic analysis to appropriate problems. Other chapters consider the study of general functions of independent, identically distributed, nonnegative random variables representing the successive intervals between renewals. This book discusses as well the numerous examples of Markov branching processes that arise naturally in various scientific disciplines. The final chapter deals with queueing models, which aid the design process by predicting system performance. This book is a valuable resource for students of engineering and management science. Engineers will also find this book useful.