Widely praised and much-discussed, this classic book explores how cooperation can emerge in a world of self-seeking egoists—whether superpowers, businesses, or individuals—when there is no central authority to police their actions. The problem of cooperation is central to many different fields. Robert Axelrod recounts the famous computer tournaments in which the “cooperative” program Tit for Tat recorded its stunning victories, explains its application to a broad spectrum of subjects, and suggests how readers can both apply cooperative principles to their own lives and teach cooperative principles to others.

    It brings comfort, purpose, and sense of pride. These feelings mean so much to the Christian. But are these feelings justified? Do Christians have good reason to trust the truth of their beliefs? Author J. D. Brucker brings forth a short collection of arguments against Christian beliefs, exposing the falsehoods of the faith so many all around the world cherish.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

     Marcus Aurelius wrote the 12 books of the Meditations as a source for his own guidance and self-improvement. These books have been carefully adapted into a contemporary form to allow for easy reading.

    G. Wells predicted that statistical thinking would be as necessary for citizenship in a technological world as the ability to read and write. But in the twenty-first century, we are often overwhelmed by a baffling array of percentages and probabilities as we try to navigate in a world dominated by statistics. Cognitive scientist Gerd Gigerenzer says that because we haven't learned statistical thinking, we don't understand risk and uncertainty. In order to assess risk -- everything from the risk of an automobile accident to the certainty or uncertainty of some common medical screening tests -- we need a basic understanding of statistics.Astonishingly, doctors and lawyers don't understand risk any better than anyone else. Gigerenzer reports a study in which doctors were told the results of breast cancer screenings and then were asked to explain the risks of contracting breast cancer to a woman who received a positive result from a screening. The actual risk was small because the test gives many false positives. But nearly every physician in the study overstated the risk. Yet many people will have to make important health decisions based on such information and the interpretation of that information by their doctors.Gigerenzer explains that a major obstacle to our understanding of numbers is that we live with an illusion of certainty. Many of us believe that HIV tests, DNA fingerprinting, and the growing number of genetic tests are absolutely certain. But even DNA evidence can produce spurious matches. We cling to our illusion of certainty because the medical industry, insurance companies, investment advisers, and election campaigns have become purveyors of certainty, marketing it like a commodity.To avoid confusion, says Gigerenzer, we should rely on more understandable representations of risk, such as absolute risks. For example, it is said that a mammography screening reduces the risk of breast cancer by 25 percent. But in absolute risks, that means that out of every 1,000 women who do not participate in screening, 4 will die; while out of 1,000 women who do, 3 will die. A 25 percent risk reduction sounds much more significant than a benefit that 1 out of 1,000 women will reap.This eye-opening book explains how we can overcome our ignorance of numbers and better understand the risks we may be taking with our money, our health, and our lives.

    It includes a list of important people and important terms, and overall book summary, a chapter by chapter book summary as well as a supplemental essay.

    As recently as 1918, a pandemic of influenza claimed over 50 million lives worldwide. The advent of drugs and vaccines led to an era of hope when we thought our battles with infectious disease were won, but our optimism has been eroded by the recognition that many pathogens have the capacity to transform themselves and escape our efforts to eradicate them. Are we now facing an inevitable repeat of a calamity such as the 1918 influenza pandemic or the Black Death? Can we anticipate and thwart such an event, or are we wilfully creating the conditions that would promote the emergence of new and highly virulent human infectious disease?Sunetra Gupta is Professor of Theoretical Epidemiology at the University of Oxford specialising in infectious diseases. She holds a bachelor's degree from Princeton University and a Ph.D. from the University of London. She has been awarded the Scientific Medal by the Zoological Society of London and the Royal Society Rosalind Franklin Award for her scientific research. She is also a novelist whose books have been awarded the Sahitya Akademi Award, the Southern Arts Literature Prize, shortlisted for the Crossword Award, and longlisted for the DSC and Orange Prizes.

    The struggle for reconciliation between the contending forces is not an easy one. It cuts deep into the soul and usually leaves scars that ache while life endures. There are thousands of young people in the Church to-day, and hundreds of thousands throughout the world, who are struggling to set themselves right with the God above and the world about them. It is for these young people, primarily, that the following chapters have been written...

    Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    This outstanding history illustrates the utter futility of fighting the market process through legislation, which always uses despotic measures to yield socially catastrophic results.The book covers the ancient world, the Roman Republic and Empire, Medieval Europe, the first centuries of the United States and Canada, the French Revolution, the 19th century, World Wars I and II, the Nazis, the Soviets, postwar rent control, and the 1970s. It also includes a very helpful conclusion spelling out the theory of wage and price controls.This book is a treasure, and super entertaining!To search for Mises Institute titles, enter a keyword and LvMI (short for Ludwig von Mises Institute); e.g., Depression LvMI

    His Incompleteness Theorem turned not only mathematics but also the whole world of science and philosophy on its head. Equally legendary were Gö's eccentricities, his close friendship with Albert Einstein, and his paranoid fear of germs that eventually led to his death from self-starvation. Now, in the first popular biography of this strange and brilliant thinker, John Casti and Werner DePauli bring the legend to life. After describing his childhood in the Moravian capital of Brno, the authors trace the arc of Gö's remarkable career, from the famed Vienna Circle, where philosophers and scientists debated notions of truth, to the Institute for Advanced Study in Princeton, New Jersey, where he lived and worked until his death in 1978. In the process, they shed light on Gö's contributions to mathematics, philosophy, computer science, artificial intelligence -- even cosmology -- in an entertaining and accessible way.

    Absolutely:•No Trendlines•No Support or Resistance analysis•No ADX•No RSI•No Fibonacci Retracements of Extensions of any kind•No Elliot wave•No Candlestick patterns ( triangles, rectangles, pendants, Flags,…..)•No Bollinger Bands•No StochasticWelcome to the world of Pure Price action at its finest.PRICE ACTION the like of which you have never seen before. Identify current Trend at a Glance; quickly assess whether you are at the beginning of the move or whether you are late.All you need is a FREE Metatrader 4 platform and this Book.

    Hardcover published by Quadragle/The New York Times Book Co., third printing, August 1977, copyright 1975.

    Written by an experienced teacher and examiner, Cambridge IGCSE Biology Workbook helps students build the skills required in both their theory and practical examinations. The exercises in this write-in workbook help to consolidate understanding and get used to using knowledge in new situations, develop information handling and problem solving skills, and develop experimental skills including planning investigations and interpreting results. This accessible book encourages students to engage with the material. The answers to the exercises can be found on the Teacher's Resource CD-ROM.

    The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function.This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.