What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    His analysis explains not only the deficiencies of the self-regulating market, but the potentially dire social consequences of untempered market capitalism. New introductory material reveals the renewed importance of Polanyi's seminal analysis in an era of globalization and free trade.

    It proposes enlightening similarities between, for instance, maneuvering in limited war and in a traffic jam; deterring the Russians and one's own children; the modern strategy of terror and the ancient institution of hostages.

    It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    A lecture class taught by Wittgenstein, however, hardly resembled a lecture. He sat on a chair in the middle of the room, with some of the class sitting in chairs, some on the floor. He never used notes. He paused frequently, sometimes for several minutes, while he puzzled out a problem. He often asked his listeners questions and reacted to their replies. Many meetings were largely conversation. These lectures were attended by, among others, D. A. T. Gasking, J. N. Findlay, Stephen Toulmin, Alan Turing, G. H. von Wright, R. G. Bosanquet, Norman Malcolm, Rush Rhees, and Yorick Smythies. Notes taken by these last four are the basis for the thirty-one lectures in this book. The lectures covered such topics as the nature of mathematics, the distinctions between mathematical and everyday languages, the truth of mathematical propositions, consistency and contradiction in formal systems, the logicism of Frege and Russell, Platonism, identity, negation, and necessary truth. The mathematical examples used are nearly always elementary.

    He taught in Austria until 1937, when he emigrated to New Zealand in anticipation of the Nazi annexation of Austria the following year, and he settled in England in 1949. Before the annexation, Popper had written mainly about the philosophy of science, but from 1938 until the end of the Second World War he focused his energies on political philosophy, seeking to diagnose the intellectual origins of German and Soviet totalitarianism. The Open Society and Its Enemies was the result. In the book, Popper condemned Plato, Marx, and Hegel as "holists" and "historicists"--a holist, according to Popper, believes that individuals are formed entirely by their social groups; historicists believe that social groups evolve according to internal principles that it is the intellectual's task to uncover. Popper, by contrast, held that social affairs are unpredictable, and argued vehemently against social engineering. He also sought to shift the focus of political philosophy away from questions about who ought to rule toward questions about how to minimize the damage done by the powerful. The book was an immediate sensation, and--though it has long been criticized for its portrayals of Plato, Marx, and Hegel--it has remained a landmark on the left and right alike for its defense of freedom and the spirit of critical inquiry.

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    Mathematics: The Loss of Certainty refutes that myth.

    Sandel takes up one of the biggest ethical questions of our time: Isn't there something wrong with a world in which everything is for sale? If so, how can we prevent market values from reaching into spheres of life where they don't belong? What are the moral limits of markets?In recent decades, market values have crowded out nonmarket norms in almost every aspect of life. Without quite realizing it, Sandel argues, we have drifted from having a market economy to being a market society.In Justice, an international bestseller, Sandel showed himself to be a master at illuminating, with clarity and verve, the hard moral questions we confront in our everyday lives. Now, in What Money Can't Buy, he provokes a debate that's been missing in our market-driven age: What is the proper role of markets in a democratic society, and how can we protect the moral and civic goods that markets do not honor and money cannot buy?

    Originally published in England in the spring of 1944—when Eleanor Roosevelt supported the efforts of Stalin, and Albert Einstein subscribed lock, stock, and barrel to the socialist program—The Road to Serfdom was seen as heretical for its passionate warning against the dangers of state control over the means of production. For F. A. Hayek, the collectivist idea of empowering government with increasing economic control would inevitably lead not to a utopia but to the horrors of nazi Germany and fascist Italy.First published by the University of Chicago Press on September 18, 1944, The Road to Serfdom garnered immediate attention from the public, politicians, and scholars alike. The first printing of 2,000 copies was exhausted instantly, and within six months more than 30,000 were sold. In April of 1945, Reader's Digest published a condensed version of the book, and soon thereafter the Book-of-the-Month Club distributed this condensation to more than 600,000 readers. A perennial best-seller, the book has sold over a quarter of a million copies in the United States, not including the British edition or the nearly twenty translations into such languages as German, French, Dutch, Swedish, and Japanese, and not to mention the many underground editions produced in Eastern Europe before the fall of the iron curtain.After thirty-two printings in the United States, The Road to Serfdom has established itself alongside the works of Alexis de Tocqueville, John Stuart Mill, and George Orwell for its timeless meditation on the relation between individual liberty and government authority. This fiftieth anniversary edition, with a new introduction by Milton Friedman, commemorates the enduring influence of The Road to Serfdom on the ever-changing political and social climates of the twentieth century, from the rise of socialism after World War II to the Reagan and Thatcher "revolutions" in the 1980s and the transitions in Eastern Europe from communism to capitalism in the 1990s.F. A. Hayek (1899-1992), recipient of the Medal of Freedom in 1991 and co-winner of the Nobel Memorial Prize in Economics in 1974, was a pioneer in monetary theory and the principal proponent of libertarianism in the twentieth century.On the first American edition of The Road to Serfdom:"One of the most important books of our generation. . . . It restates for our time the issue between liberty and authority with the power and rigor of reasoning with which John Stuart Mill stated the issue for his own generation in his great essay On Liberty. . . . It is an arresting call to all well-intentioned planners and socialists, to all those who are sincere democrats and liberals at heart to stop, look and listen."—Henry Hazlitt, New York Times Book Review, September 1944"In the negative part of Professor Hayek's thesis there is a great deal of truth. It cannot be said too often—at any rate, it is not being said nearly often enough—that collectivism is not inherently democratic, but, on the contrary, gives to a tyrannical minority such powers as the Spanish Inquisitors never dreamt of."—George Orwell, Collected Essays

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    The result is an accessible text that has sold well over half a million copies in English, has been translated into eighteen languages, and shows every sign of becoming more and more influential as time goes on.

    Professor Hacking shows how by the late nineteenth century it became possible to think of statistical patterns as explanatory in themselves, and to regard the world as not necessarily deterministic in character. Combining detailed scientific historical research with characteristic philosophic breath and verve, The Taming of Chance brings out the relations among philosophy, the physical sciences, mathematics and the development of social institutions, and provides a unique and authoritative analysis of the probabilization of the Western world.