Reveals how to run an online business profitably in spite of the Internet's inherently free culture, disseminating the principles of a ''priceless economy'' in six categories that pertain to advertising, labor exchange, and advanced-version fees.

    

    Explaining why the whole is sometimes smarter than the sum of its parts, Johnson presents surprising examples of feedback, self-organization, and adaptive learning. How does a lively neighborhood evolve out of a disconnected group of shopkeepers, bartenders, and real estate developers? How does a media event take on a life of its own? How will new software programs create an intelligent World Wide Web? In the coming years, the power of self-organization -- coupled with the connective technology of the Internet -- will usher in a revolution every bit as significant as the introduction of electricity. Provocative and engaging, Emergence puts you on the front lines of this exciting upheaval in science and thought.

    In many countries, supplies of food and water are inadequate to support the population, so the world falls deeper and deeper into what economists call the "Malthusian trap."Here, Malthus examines the tendency of human numbers to outstrip their resources, and argues that poverty, disease, and starvation are necessary to keep societies from moving beyond their means of subsistence.Public Domain (P)2013 Audible Ltd

    With boundless erudition and in delightfully clear prose, Surowiecki ranges across fields as diverse as popular culture, psychology, ant biology, behavioral economics, artificial intelligence, military history, and politics to show how this simple idea offers important lessons for how we live our lives, select our leaders, run our companies, and think about our world.

    Thing 4: The washing machine has changed the world more than the Internet. Thing 5: Assume the worst about people, and you get the worst. Thing 13: Making rich people richer doesn't make the rest of us richer.If you've wondered how we did not see the economic collapse coming, Ha-Joon Chang knows the answer: We didn't ask what they didn't tell us about capitalism. This is a lighthearted book with a serious purpose: to question the assumptions behind the dogma and sheer hype that the dominant school of neoliberal economists-the apostles of the freemarket-have spun since the Age of Reagan.Chang, the author of the international bestseller Bad Samaritans, is one of the world's most respected economists, a voice of sanity-and wit-in the tradition of John Kenneth Galbraith and Joseph Stiglitz. 23 Things They Don't Tell You About Capitalism equips readers with an understanding of how global capitalism works-and doesn't. In his final chapter, "How to Rebuild the World," Chang offers a vision of how we can shape capitalism to humane ends, instead of becoming slaves of the market.Ha-Joon Chang teaches in the Faculty of Economics at the University of Cambridge. His books include the bestselling Bad Samaritans: The Myth of Free Trade and the Secret History of Capitalism. His Kicking Away the Ladder received the 2003 Myrdal Prize, and, in 2005, Chang was awarded the Leontief Prize for Advancing the Frontiers of Economic Thought.

    Why do we recognize patterns? Is there such a thing as positive stress? Are we genetically programmed to be in conflict with each other? Those are just some of the 150 questions that the world's best scientific minds answer with elegant simplicity.With contributions from Jared Diamond, Richard Dawkins, Nassim Taleb, Brian Eno, Steven Pinker, and more, everything is explained in fun, uncomplicated terms that make the most complex concepts easy to comprehend.

    Whether you're a beginner, and avid student, or an armchair expert, you'll find plenty to stimulate you within this book.--book jacket

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

    But, with Max Bazerman's Judgment in Managerial Decision Making, Sixth Edition, you can learn how to overcome those biases to make better managerial decisions. The text examines judgment in a variety of organizational contexts, and provides practical strategies for changing your decision-making processes and improving these processes so that they become part of your permanent behavior. Throughout, you'll findnumerous hands-on decision exercises and examples from the author's extensive executive training experience that will help you enhance the quality of your managerial judgment. Past editions have been used in top universities, in business schools, and in public policy, psychology, and economics classes. In addition, the text has been widely recognized by practitioners in the world of behavioral finance. Revised with two new chapters This Sixth Edition now adds chapters on bounded ethicality (Chapter 8) and bounded awareness (Chapter 11). Both of these chapters are based on Bazerman's recent writing with Dolly Chugh and Mahzarin Banaji. Max H. Bazerman is the Jesse Isidor Straus Professor of Business Administration at the Harvard Business School. In addition, Max is also formally affiliated with the Kennedy School of Government, the Psychology Department, and the Program on Negotiation at Harvard. He is the author or co-author of over 150 research articles and chapters, and the author of numerous other books. Max was named one of the top 30 authors, speakers, and teachers of management by Executive Excellence in each of their two most recent rankings.

    Through vivid narrative, lively presentations of important research, and intriguing examples, Elliot Aronson probes the patterns and motives of human behavior, covering such diverse topics as terrorism, conformity, obedience, politics, race relations, advertising, war, interpersonal attraction, and the power of religious cults.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    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.

     According to MSNBC, having a child makes you stupid. You actually lose IQ points. Good Morning America has announced that natural blondes will be extinct within two hundred years. Pundits estimated that there were more than a million demonstrators at a tea party rally in Washington, D.C., even though roughly sixty thousand were there. Numbers have peculiar powers-they can disarm skeptics, befuddle journalists, and hoodwink the public into believing almost anything. "Proofiness," as Charles Seife explains in this eye-opening book, is the art of using pure mathematics for impure ends, and he reminds readers that bad mathematics has a dark side. It is used to bring down beloved government officials and to appoint undeserving ones (both Democratic and Republican), to convict the innocent and acquit the guilty, to ruin our economy, and to fix the outcomes of future elections. This penetrating look at the intersection of math and society will appeal to readers of Freakonomics and the books of Malcolm Gladwell.

    Applauded for providing the most clear and accurate presentation of advanced microeconomic concepts, it offers an ideal level of mathematical rigor for upper level undergraduate students and beginning graduate students. It gives students the opportunity to work directly with theoretical tools, real-world applications, and cutting edge developments in the study of microeconomics. This text is solid, rigorous, comprehensive, and is sensibly challenging for students, best serving students with a mathematics background.