Networks, Crowds, and Markets
David Easley - 2010
This connectedness is found in many incarnations: in the rapid growth of the Internet, in the ease with which global communication takes place, and in the ability of news and information as well as epidemics and financial crises to spread with surprising speed and intensity. These are phenomena that involve networks, incentives, and the aggregate behavior of groups of people; they are based on the links that connect us and the ways in which our decisions can have subtle consequences for others. This introductory undergraduate textbook takes an interdisciplinary look at economics, sociology, computing and information science, and applied mathematics to understand networks and behavior. It describes the emerging field of study that is growing at the interface of these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.
The Economics Book: Big Ideas Simply Explained
Niall Kishtainy - 2012
Whether you're a beginner, and avid student, or an armchair expert, you'll find plenty to stimulate you within this book.--book jacket
OpenIntro Statistics
David M. Diez - 2012
Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible. Files for the entire book are freely available at openintro.org, and anybody can purchase a paperback copy from amazon.com for under $10.The future for OpenIntro depends on the involvement and enthusiasm of our community. Visit our website, openintro.org. We provide free course management tools, including an online question bank, utilities for creating course quizzes, and many other helpful resources.CERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED ‘AS IS’ AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.Can’t find it here? Search Amazon.com Search: All Products Apparel & AccessoriesBabyBeautyBooksCamera & PhotoCell Phones & ServiceClassical MusicComputersComputer & Video GamesDVDElectronicsGourmet FoodHome & GardenMiscellaneousHealth & Personal CareJewelry & WatchesKitchen & HousewaresMagazine SubscriptionsMusicMusical InstrumentsSoftwareSports & OutdoorsTools & HardwareToys & GamesVHS Keywords:
Democracy for Realists: Why Elections Do Not Produce Responsive Government
Christopher H. Achen - 2016
They demonstrate that voters even those who are well informed and politically engaged mostly choose parties and candidates on the basis of social identities and partisan loyalties, not political issues. They also show that voters adjust their policy views and even their perceptions of basic matters of fact to match those loyalties. When parties are roughly evenly matched, elections often turn on irrelevant or misleading considerations such as economic spurts or downturns beyond the incumbents' control; the outcomes are essentially random. Thus, voters do not control the course of public policy, even indirectly.Achen and Bartels argue that democratic theory needs to be founded on identity groups and political parties, not on the preferences of individual voters. "Democracy for Realists" provides a powerful challenge to conventional thinking, pointing the way toward a fundamentally different understanding of the realities and potential of democratic government."
The Information: A History, a Theory, a Flood
James Gleick - 2011
The story of information begins in a time profoundly unlike our own, when every thought and utterance vanishes as soon as it is born. From the invention of scripts and alphabets to the long-misunderstood talking drums of Africa, Gleick tells the story of information technologies that changed the very nature of human consciousness. He provides portraits of the key figures contributing to the inexorable development of our modern understanding of information: Charles Babbage, the idiosyncratic inventor of the first great mechanical computer; Ada Byron, the brilliant and doomed daughter of the poet, who became the first true programmer; pivotal figures like Samuel Morse and Alan Turing; and Claude Shannon, the creator of information theory itself. And then the information age arrives. Citizens of this world become experts willy-nilly: aficionados of bits and bytes. And we sometimes feel we are drowning, swept by a deluge of signs and signals, news and images, blogs and tweets. The Information is the story of how we got here and where we are heading.
The Worldly Philosophers
Robert L. Heilbroner - 1953
In this seventh edition, Robert L. Heilbroner provides a new theme that connects thinkers as diverse as Adam Smith and Karl Marx. The theme is the common focus of their highly varied ideas—namely, the search to understand how a capitalist society works. It is a focus never more needed than in this age of confusing economic headlines.In a bold new concluding chapter entitled “The End of the Worldly Philosophy?” Heilbroner reminds us that the word “end” refers to both the purpose and limits of economics. This chapter conveys a concern that today’s increasingly “scientific” economics may overlook fundamental social and political issues that are central to economics. Thus, unlike its predecessors, this new edition provides not just an indispensable illumination of our past but a call to action for our future. (amazon.com)
Mathematical Statistics with Applications (Mathematical Statistics (W/ Applications))
Dennis D. Wackerly - 1995
Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps readers discover the nature of statistics and understand its essential role in scientific research.
The Algorithm Design Manual
Steven S. Skiena - 1997
Drawing heavily on the author's own real-world experiences, the book stresses design and analysis. Coverage is divided into two parts, the first being a general guide to techniques for the design and analysis of computer algorithms. The second is a reference section, which includes a catalog of the 75 most important algorithmic problems. By browsing this catalog, readers can quickly identify what the problem they have encountered is called, what is known about it, and how they should proceed if they need to solve it. This book is ideal for the working professional who uses algorithms on a daily basis and has need for a handy reference. This work can also readily be used in an upper-division course or as a student reference guide. THE ALGORITHM DESIGN MANUAL comes with a CD-ROM that contains: * a complete hypertext version of the full printed book. * the source code and URLs for all cited implementations. * over 30 hours of audio lectures on the design and analysis of algorithms are provided, all keyed to on-line lecture notes.
Strategy: A History
Lawrence Freedman - 2013
The core issue at the heart of strategy, the author notes, is whether it is possible to manipulate and shape our environment rather than simply become the victim of forces beyond one's control. Time and again, Freedman demonstrates that the inherent unpredictability of this environment-subject to chance events, the efforts of opponents, the missteps of friends-provides strategy with its challenge and its drama. Armies or corporations or nations rarely move from one predictable state of affairs to another, but instead feel their way through a series of states, each one not quite what was anticipated, requiring a reappraisal of the original strategy, including its ultimate objective. Thus the picture of strategy that emerges in this book is one that is fluid and flexible, governed by the starting point, not the end point.A brilliant overview of the most prominent strategic theories in history, from David's use of deception against Goliath, to the modern use of game theory in economics, this masterful volume sums up a lifetime of reflection on strategy.
Rock, Paper, Scissors: Game Theory in Everyday Life
Len Fisher - 2000
Len Fisher turns his attention to the science of cooperation in his lively and thought-provoking book. Fisher shows how the modern science of game theory has helped biologists to understand the evolution of cooperation in nature, and investigates how we might apply those lessons to our own society. In a series of experiments that take him from the polite confines of an English dinner party to crowded supermarkets, congested Indian roads, and the wilds of outback Australia, not to mention baseball strategies and the intricacies of quantum mechanics, Fisher sheds light on the problem of global cooperation. The outcomes are sometimes hilarious, sometimes alarming, but always revealing. A witty romp through a serious science, Rock, Paper, Scissors will both teach and delight anyone interested in what it what it takes to get people to work together.
Forecasting: Principles and Practice
Rob J. Hyndman - 2013
Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.
Complex Adaptive Systems: An Introduction to Computational Models of Social Life
John H. Miller - 2007
Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
Why We Make Mistakes: How We Look Without Seeing, Forget Things in Seconds, and Are All Pretty Sure We Are Way Above Average
Joseph T. Hallinan - 2009
Our eyes play tricks on us; our stories change in the retelling; and most of us are fairly sure we’re way above average. In Why We Make Mistakes, journalist Joseph T. Hallinan sets out to explore the science of human error—how we think, see, remember, and forget, and how this sets us up for wholly irresistible mistakes.In his quest to understand our imperfections, Hallinan delves into psychology, neuroscience, and economics, with forays into aviation, consumer behavior, geography, football, stock picking, and more. He discovers that some of the same qualities that make us efficient also make us error prone. Why We Make Mistakes is enlivened by real-life stories--of weathermen whose predictions are uncannily accurate and a witness who sent an innocent man to jail--and offers valuable advice, such as how to remember where you’ve hidden something important. He explains why multitasking is a bad idea, why men make errors women don’t. This book will open your eyes to the reasons behind your mistakes and have you vowing to do better the next time.
Deep Learning with Python
François Chollet - 2017
It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.
Crashed: How a Decade of Financial Crises Changed the World
Adam Tooze - 2018
In fact it was a dramatic caesura of global significance that spiraled around the world, from the financial markets of the UK and Europe to the factories and dockyards of Asia, the Middle East, and Latin America, forcing a rearrangement of global governance. In the United States and Europe, it caused a fundamental reconsideration of capitalist democracy, eventually leading to the war in the Ukraine, the chaos of Greece, Brexit, and Trump.It was the greatest crisis to have struck Western societies since the end of the Cold War, but was it inevitable? And is it over? Crashed is a dramatic new narrative resting on original themes: the haphazard nature of economic development and the erratic path of debt around the world; the unseen way individual countries and regions are linked together in deeply unequal relationships through financial interdependence, investment, politics, and force; the ways the financial crisis interacted with the spectacular rise of social media, the crisis of middle-class America, the rise of China, and global struggles over fossil fuels.Finally, Tooze asks, given this history, what now are the prospects for a liberal, stable, and coherent world order?