“I wrote this book not sure I could follow the road to character, but I wanted at least to know what the road looks like and how other people have trodden it.”—David Brooks
With the wisdom, humor, curiosity, and sharp insights that have brought millions of readers to his New York Times column and his previous bestsellers, David Brooks has consistently illuminated our daily lives in surprising and original ways. In The Social Animal, he explored the neuroscience of human connection and how we can flourish together. Now, in The Road to Character, he focuses on the deeper values that should inform our lives. Responding to what he calls the culture of the Big Me, which emphasizes external success, Brooks challenges us, and himself, to rebalance the scales between our “résumé virtues”—achieving wealth, fame, and status—and our “eulogy virtues,” those that exist at the core of our being: kindness, bravery, honesty, or faithfulness, focusing on what kind of relationships we have formed.
Looking to some of the world’s greatest thinkers and inspiring leaders, Brooks explores how, through internal struggle and a sense of their own limitations, they have built a strong inner character. Labor activist Frances Perkins understood the need to suppress parts of herself so that she could be an instrument in a larger cause. Dwight Eisenhower organized his life not around impulsive self-expression but considered self-restraint. Dorothy Day, a devout Catholic convert and champion of the poor, learned as a young woman the vocabulary of simplicity and surrender. Civil rights pioneers A. Philip Randolph and Bayard Rustin learned reticence and the logic of self-discipline, the need to distrust oneself even while waging a noble crusade.
Blending psychology, politics, spirituality, and confessional, The Road to Character provides an opportunity for us to rethink our priorities, and strive to build rich inner lives marked by humility and moral depth.
“Joy,” David Brooks writes, “is a byproduct experienced by people who are aiming for something else. But it comes.”

Gottfried Wilhelm Leibniz (1646-1716) possessed one of history's great minds. The German philosopher, mathematician, and logician invented (independently of Sir Isaac Newton) calculus. His metaphysics bequeathed a set of problems and approaches that drove the course of Western philosophy, from Kant's eighteenth century until the present day. For over fifty years, the study of Leibniz has been a consistent passion for distinguished philosopher Nicholas Rescher. "On Leibniz" offers eleven of his essays, written with signature clarity, exploring the aspects of Leibniz's work and life that still resonate in the discipline of philosophy. Rescher's essays are snapshots of Leibniz, lucidly drawn case studies that explain the fundamentals of his ontology: the theory of possible worlds, the world's contingency, space-time frameworks, and intermonadic relationships. Several illuminating pieces reveal Leibniz as a substantial contributor to theories of knowledge. Discussions of his epistemology and methodology, its relationship to John Maynard Keynes and Talmudic scholarship, broaden the traditional view of Leibniz as a uniquely metaphysical thinker. Rescher also explores, in four absorbing biographical essays, Leibniz's scholarly development and professional career in historical context. As a andquot; philosopher courtierandquot; to the Hanoverian court, Leibniz was associated with the leading intellectuals and politicians of his era, including Spinoza, Huygens, Newton, Queen Sophie Charlotte, and Czar Peter the Great. A concluding essay holds up Leibniz's mode of philosophy as a role model for today's scholars. Rescher argues that many current problems can be effectivelyaddressed with principles of process philosophy along lines inspired by Leibniz's monadology. "On Leibniz" is essential reading for students of Leibniz and Rescher alike.

In "Error," Nicholas Rescher presents a fresh analysis of the occurrence, causality, and consequences of error in human thought, action, and evaluation. Rescher maintains that error-avoidance and truth-achievement are distinct but equally important factors for rational inquiry, and that error is inherent in the human cognitive process (to err is human). He defines three main categories of error: cognitive (failure to realize truths); practical (failure related to the objective of an action); and axiological (failure in evaluation), and articulates the factors that contribute to each. His discussion also provides a historical perspective on the treatment of error in Greek philosophy, and by later thinkers such as Aquinas, Descartes, Spinoza, Leibniz, James, Royce, Moore, and Russell. "Error "is an important reexamination of the significance of error to the fields of philosophical anthropology, epistemology, ontology, and theology. As Rescher's study argues, truth and error are inexorably intertwined--one cannot exist without the other. Error is an unavoidable occurrence in the cognitive process--without missteps on the path to truth, truth itself cannot be attained. The risk of error is inherent in the quest for truth.

Revised and updated, the third edition of Golub and Van Loan's classic text in computer science provides essential information about the mathematical background and algorithmic skills required for the production of numerical software. This new edition includes thoroughly revised chapters on matrix multiplication problems and parallel matrix computations, expanded treatment of CS decomposition, an updated overview of floating point arithmetic, a more accurate rendition of the modified Gram-Schmidt process, and new material devoted to GMRES, QMR, and other methods designed to handle the sparse unsymmetric linear system problem.

WINNER OF THE 2005 DEGROOT PRIZE! This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable for students and researchers in statistics, computer science, data mining and machine learning. This book covers a much wider range of topics than a typical introductory text on mathematical statistics. It includes modern topics like nonparametric curve estimation, bootstrapping and classification, topics that are usually relegated to follow-up courses. The reader is assumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. The text can be used at the advanced undergraduate and graduate level.

At once a celebration of technology and a warning about its misuse, The Glass Cage will change the way you think about the tools you use every day.
In The Glass Cage, best-selling author Nicholas Carr digs behind the headlines about factory robots and self-driving cars, wearable computers and digitized medicine, as he explores the hidden costs of granting software dominion over our work and our leisure. Even as they bring ease to our lives, these programs are stealing something essential from us.
Drawing on psychological and neurological studies that underscore how tightly people’s happiness and satisfaction are tied to performing hard work in the real world, Carr reveals something we already suspect: shifting our attention to computer screens can leave us disengaged and discontented.
From nineteenth-century textile mills to the cockpits of modern jets, from the frozen hunting grounds of Inuit tribes to the sterile landscapes of GPS maps, The Glass Cage explores the impact of automation from a deeply human perspective, examining the personal as well as the economic consequences of our growing dependence on computers.
With a characteristic blend of history and philosophy, poetry and science, Carr takes us on a journey from the work and early theory of Adam Smith and Alfred North Whitehead to the latest research into human attention, memory, and happiness, culminating in a moving meditation on how we can use technology to expand the human experience.

Most people are baffled by how computers work and assume that they will never understand them. What they don't realize—and what Daniel Hillis's short book brilliantly demonstrates—is that computers' seemingly complex operations can be broken down into a few simple parts that perform the same simple procedures over and over again. Computer wizard Hillis offers an easy-to-follow explanation of how data is processed that makes the operations of a computer seem as straightforward as those of a bicycle.Avoiding technobabble or discussions of advanced hardware, the lucid explanations and colorful anecdotes in The Pattern on the Stone go straight to the heart of what computers really do. Hillis proceeds from an outline of basic logic to clear descriptions of programming languages, algorithms, and memory. He then takes readers in simple steps up to the most exciting developments in computing today—quantum computing, parallel computing, neural networks, and self-organizing systems.Written clearly and succinctly by one of the world's leading computer scientists, The Pattern on the Stone is an indispensable guide to understanding the workings of that most ubiquitous and important of machines: the computer.

In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. With the increasing complexity of computer technology and the resulting specialization of knowledge, such clarity is often lost. Unlike other texts that cover only one aspect of the field, The Elements of Computing Systems gives students an integrated and rigorous picture of applied computer science, as its comes to play in the construction of a simple yet powerful computer system.Indeed, the best way to understand how computers work is to build one from scratch, and this textbook leads students through twelve chapters and projects that gradually build a basic hardware platform and a modern software hierarchy from the ground up. In the process, the students gain hands-on knowledge of hardware architecture, operating systems, programming languages, compilers, data structures, algorithms, and software engineering. Using this constructive approach, the book exposes a significant body of computer science knowledge and demonstrates how theoretical and applied techniques taught in other courses fit into the overall picture.Designed to support one- or two-semester courses, the book is based on an abstraction-implementation paradigm; each chapter presents a key hardware or software abstraction, a proposed implementation that makes it concrete, and an actual project. The emerging computer system can be built by following the chapters, although this is only one option, since the projects are self-contained and can be done or skipped in any order. All the computer science knowledge necessary for completing the projects is embedded in the book, the only pre-requisite being a programming experience.The book's web site provides all tools and materials necessary to build all the hardware and software systems described in the text, including two hundred test programs for the twelve projects. The projects and systems can be modified to meet various teaching needs, and all the supplied software is open-source.

Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines?Once again, the heart of the book is a set of almost 300 articles covering the whole spectrum of topics in brain theory and neural networks. The first two parts of the book, prepared by Michael Arbib, are designed to help readers orient themselves in this wealth of material. Part I provides general background on brain modeling and on both biological and artificial neural networks. Part II consists of "Road Maps" to help readers steer through articles in part III on specific topics of interest. The articles in part III are written so as to be accessible to readers of diverse backgrounds. They are cross-referenced and provide lists of pointers to Road Maps, background material, and related reading.The second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. It contains 287 articles, compared to the 266 in the first edition. Articles on topics from the first edition have been updated by the original authors or written anew by new authors, and there are 106 articles on new topics.

This book, about the nature and techniques of mathematical modeling, is oriented towards simple efficient implementations on computers. The text is in three sections. The first covers exact and approximate analytical techniques; the second, numerical methods; the third, model inference based on observations; and the last, the special role of time in modeling. Each of the topics in the book would be the worthy subject of a dedicated text, but only by presenting the material in this way is it possible to make so much material accessible to so many people. Each chapter presents a concise summary of the core results in an area, providing an orientation to what they can (and cannot) do, enough background to use them to solve typical problems, and pointers to access the literature for particular applications. The text is complemented by extensive worked problems.

What if you could someday put the manufacturing power of an automobile plant on your desktop? According to Neil Gershenfeld, the renowned MIT scientist and inventor, the next big thing is personal fabrication-the ability to design and produce your own products, in your own home, with a machine that combines consumer electronics and industrial tools. Personal fabricators are about to revolutionize the world just as personal computers did a generation ago, and Fab shows us how.

The Physics of Information Technology, first published in 2000, explores the familiar devices that we use to collect, transform, transmit, and interact with electronic information. Many such devices operate surprisingly close to very many fundamental physical limits. Understanding how such devices work, and how they can (and cannot) be improved, requires deep insight into the character of physical law as well as engineering practice. The book starts with an introduction to units, forces, and the probabilistic foundations of noise and signalling, then progresses through the electromagnetics of wired and wireless communications, and the quantum mechanics of electronic, optical, and magnetic materials, to discussions of mechanisms for computation, storage, sensing, and display. This self-contained volume will help both physical scientists and computer scientists see beyond the conventional division between hardware and software to understand the implications of physical theory for information manipulation.

Barbarians at the Gate has been called one of the most influential business books of all time -- the definitive account of the largest takeover in Wall Street history. Bryan Burrough and John Helyar's gripping account of the frenzy that overtook Wall Street in October and November of 1988 is the story of deal makers and publicity flaks, of strategy meetings and society dinners, of boardrooms and bedrooms -- giving us not only a detailed look at how financial operations at the highest levels are conducted but also a richly textured social history of wealth at the twilight of the Reagan era.</p>
Barbarians at the Gate -- a business narrative classic -- is must reading for everyone interested in the way today's world really works.</p>

The modern industrialized world is a complex system on a scale never before witnessed in the history of humankind. Technologically dependent, globally interconnected, it offers seemingly limitless conveniences, choices, and opportunities. Yet this same modern civilization is as unstable as a house of cards, fear complexity scientists like John L. Casti. All it would take to downsize our way of life-to send us crashing back to the 19th century way of life-is a nudge from what Casti calls an X-Event, an unpredictable occurrence that with extreme, even dire, consequences. When an X-Event strikes - and scientists believe it will-finance, communication, defense, and travel will stop dead in their tracks. The flow of food, electricity, medicine, and clean water will be disrupted for months, if not years. What will you do? A renowned systems theorist, Casti shows how our world has become impossibly complicated, relying on ever more advanced technology that is developing at an exponential rate. Yet it is a fact of mathematical life that higher and higher levels of complexity lead to a system that's ever more fragile and susceptible to sudden, spectacular collapse. Fascinating and chilling, "X-Events" provides a provocative tour of the catastrophic outlier scenarios that could quickly send us crashing back to the pre-industrial age: global financial black swans; a world-wide crash of the Internet that would halt all communication; the end of oil; nuclear winter; nano-plagues; robot uprisings; electromagnetic-pulse bombs; pandemic viruses; and more. You won't look at the world the same way again after reading this book.

'The question for me is how can the human mind occur in the physical universe. We now know that the world is governed by physics. We now understand the way biology nestles comfortably within that. The issue is how will the mind do that as well.' --Alan Newell, December 4, 1991, Carnegie Mellon University The argument John Anderson gives in this book was inspired by the passage above, from the last lecture by one of the pioneers of cognitive science. Newell describes what, for him, is the pivotal question of scientific inquiry, and Anderson gives an answer that is emerging from the study of brain and behavior. Humans share the same basic cognitive architecture with all primates, but they have evolved abilities to exercise abstract control over cognition and process more complex relational patterns. The human cognitive architecture consists of a set of largely independent modules associated with different brain regions. In this book, Anderson discusses in detail how these various modules can combine to produce behaviors as varied as driving a car and solving an algebraic equation, but focuses principally on two of the modules: the declarative and procedural. The declarative module involves a memory system that, moment by moment, attempts to give each person the most appropriate possible window into his or her past. The procedural module involves a central system that strives to develop a set of productions that will enable the most adaptive response from any state of the modules. Newell argued that the answer to his question must take the form of a cognitive architecture, and Anderson organizes his answer around the ACT-R architecture, but broadens it by bringing in research from all areas of cognitive science, including how recent work in brain imaging maps onto the cogntive architecture.