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"A sharp, gripping story of a bleak future." — Kirkus Reviews The Algorithm Wars have ended, and the world has been optimized. Thanks to the System, everything that happens is recorded, liked, commented, shared and analyzed at scale in order to produce nonstop and ever-improving recommendations about what kind of job you should have, what kind of food you might enjoy, what kind of music you might like, what kind of exercise you need, and what kind of person you might want to sleep with. It is a world of total information and total freedom… although things tend to go more smoothly when you follow the System’s recommendations. In this hyper-networked society, Stanton Lime did the one thing that should have been impossible: He disappeared. Now the System has inexplicably selected Jack, a perfectly ordinary citizen, to find out why. From author J.M. Berger, an expert on the toxic real-world effects of a globally networked society, comes a unique dystopian vision of a total information society built by Silicon Valley, where today’s trends have become tomorrow’s reality.
An introduction to "flow," a new field of behavioral science that offers life-fulfilling potential, explains its principles and shows how to introduce flow into all aspects of life, avoiding the interferences of disharmony.
This paper sets out a framework for analyzing optimal interventions by a tax administration, one that parallels and can be closely integrated with established frameworks for thinking about optimal tax policy. Its key contribution is the development of a summary measure of the impact of administrative interventions—the “enforcement elasticity of tax revenue”—that is a sufficient statistic for the behavioral response to such interventions, much as the elasticity of taxable income serves as a sufficient statistic for the response to tax rates. Amongst the applications are characterizations of the optimal balance between policy and administrative measures, and of the optimal compliance gap.
Health, Illness, and Optimal Aging: Biological and Psychosocial Perspectives, Third Edition shows the continuity and advancements in our understanding of human life-span development... It offers a solid foundation for exploring the art and science of successful aging.- Robert M. Kaplan, Stanford University
Optimal Audio and Video Reproduction at Home is a comprehensive guide that will help every reader set up a modern audio-video system in a small room such as a home theater or studio control room. Verdult covers everything the reader needs to know to optimize the reproduction of multichannel audio and high-resolution video. The book provides concrete advice on equipment setup, display calibration, loudspeaker positioning, room acoustics, and much more. Detailed, easy-to-grasp explanations of the underlying principles ensure the reader will make the right choices, find alternatives, and separate the rigid from the more flexible requirements to achieve the best possible results.
This fully revised 3rd edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It brings to students the concept of the maximum principle in continuous, as well as discrete, time by using dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations faced in business and economics. The book exploits optimal control theory to the functional areas of management including finance, production and marketing and to economics of growth and of natural resources. In addition, this new edition features materials on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. The book provides exercises for each chapter and answers to selected exercises to help deepen the understanding of the material presented. Also included are appendices comprised of supplementary material on the solution of differential equations, the calculus of variations and its relationships to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as a foundation for the book, which the author has applied to business management problems developed from his research and classroom instruction. The new edition has been completely refined and brought up to date. Ultimately this should continue to be a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers concerned with the application of dynamic optimization in their fields.
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication: Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems Extensions and Applications features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems Advanced Topics explores complex methods including simulation optimization, active learning in mathematical programming, and optimal continuous measurements Each chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduction to learning and a variety of policies for learning.
Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems. The material is presented without a heavy reliance on mathematics and focuses on one-dimensional and array processing results, as well as a wide range of adaptive filter algorithms and implementations. Topics discussed include random signals and optimal processing, adaptive signal processing with the LMS algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing. Optimal and Adaptive Signal Processing is a valuable guide for scientists and engineers, as well as an excellent text for senior undergraduate/graduate level students in electrical engineering.
Many people speak about their problems in life. In fact, this is one of the hottest topics of conversations. It doesn't really matter where you meet someone, all it takes is a friendly smile to start pouring out your life's woes to them. Everyone does the same. The result is that no one really knows how happy one is. Since everyone is talking about their miseries, it does seem that no one around is leading an optimal life. This is where the problem lies. We think that the term 'optimal life' should have a definition. We think that we should be able to peg down someone's life entirely and say, "Ah, now his is an optimal life!" But it doesn't happen that way. You might think that someone with a lot of money or someone with a beautiful wife must have an optimal life. But when you get to know them better, you begin to see the problems that lie behind the exterior façade of theirs and you realize that their life is not what you thought it to be. There's a great saying that "If everyone were to throw their problems in a pile, and see everyone else's, they would grab their own right back". This is true. We think the neighbours are always happier than we are. We think they are leading a more optimal life than we are. But if we were really to sit down and make comparisons, quite likely, we would find our problems to be the least. So, where are we heading with this? The point here is that our lives are only as optimal as we want them to be. We have it entirely in our hands how beautiful we want to make our lives. If we want to sit and brood that life is toying with us in every way possible, it is. But if we plan to take things in our hands and not let life jerk us around, it won't. We have to plan just how much control we want to give our lives. An optimal life is a very individualistic thing. For us, an optimal life would be one in which we are completely contented and satisfied with whatever we have.