Over years of groundbreaking experiments, he has distilled remarkable discoveries significant enough to become the bedrock of a whole new scientific field: social physics. Humans have more in common with bees than we like to admit: We’re social creatures first and foremost. Our most important habits of action—and most basic notions of common sense—are wired into us through our coordination in social groups. Social physics is about idea flow, the way human social networks spread ideas and transform those ideas into behaviors. Thanks to the millions of digital bread crumbs people leave behind via smartphones, GPS devices, and the Internet, the amount of new information we have about human activity is truly profound. Until now, sociologists have depended on limited data sets and surveys that tell us how people say they think and behave, rather than what they actually do. As a result, we’ve been stuck with the same stale social structures—classes, markets—and a focus on individual actors, data snapshots, and steady states. Pentland shows that, in fact, humans respond much more powerfully to social incentives that involve rewarding others and strengthening the ties that bind than incentives that involve only their own economic self-interest. Pentland and his teams have found that they can study patterns of information exchange in a social network without any knowledge of the actual content of the information and predict with stunning accuracy how productive and effective that network is, whether it’s a business or an entire city. We can maximize a group’s collective intelligence to improve performance and use social incentives to create new organizations and guide them through disruptive change in a way that maximizes the good. At every level of interaction, from small groups to large cities, social networks can be tuned to increase exploration and engagement, thus vastly improving idea flow.  Social Physics will change the way we think about how we learn and how our social groups work—and can be made to work better, at every level of society. Pentland leads readers to the edge of the most important revolution in the study of social behavior in a generation, an entirely new way to look at life itself.

    We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers.

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    There are updates throughout the book as well. These take into account important advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. The chapter "Economic Reality" has also been revised to reflect a change in emphasis in Simon's thinking about the respective roles of organizations and markets in economic systems."People sometimes ask me what they should read to find out about artificial intelligence. Herbert Simon's book The Sciences of the Artificial is always on the list I give them. Every page issues a challenge to conventional thinking, and the layman who digests it well will certainly understand what the field of artificial intelligence hopes to accomplish. I recommend it in the same spirit that I recommend Freud to people who ask about psychoanalysis, or Piaget to those who ask about child psychology: If you want to learn about a subject, start by reading its founding fathers." -- George A. Miller

    

    Siracusa's overview, wrap-up, and critique of everything new in OS X 10.10 Yosemite.

    However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures. The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

    Dyson traces the course of the information revolution, illuminating the lives and work of visionaries - from the time of Thomas Hobbes to the time of John von Neumann - who foresaw the development of artificial intelligence, artificial life, and artificial mind. This book derives both its title and its outlook from Samuel Butler's 1863 essay "Darwin Among the Machines." Observing the beginnings of miniaturization, self-reproduction, and telecommunication among machines, Butler predicted that nature's intelligence, only temporarily subservient to technology, would resurface to claim our creations as her own. Weaving a cohesive narrative among his brilliant predecessors, Dyson constructs a straightforward, convincing, and occasionally frightening view of the evolution of mind in the global network, on a level transcending our own. Dyson concludes that we are in the midst of an experiment that echoes the prehistory of human intelligence and the origins of life. Just as the exchange of coded molecular instructions brought life as we know it to the early earth's primordial soup, and as language and mind combined to form the culture in which we live, so, in the digital universe, are computer programs and worldwide networks combining to produce an evolutionary theater in which the distinctions between nature and technology are increasingly obscured. Nature, believes Dyson, is on the side of the machines.

    Neumann, one of Jung's most creative students and a renowned practitioner of analytical psychology in his own right, shows how the stages begin and end with the symbol of the Uroboros, or tail-eating serpent. The intermediate stages are projected in the universal myths of the World Creation, Great Mother, Separation of the World Parents, Birth of the Hero, Slaying of the Dragon, Rescue of the Captive, and Transformation and Deification of the Hero. Throughout the sequence the Hero is the evolving ego consciousness.

    I'm sure you'll find the read rewarding." --From the Foreword by Scott Meyers D is a programming language built to help programmers address the challenges of modern software development. It does so by fostering modules interconnected through precise interfaces, a federation of tightly integrated programming paradigms, language-enforced thread isolation, modular type safety, an efficient memory model, and more. The D Programming Language is an authoritative and comprehensive introduction to D. Reflecting the author's signature style, the writing is casual and conversational, but never at the expense of focus and pre-cision. It covers all aspects of the language (such as expressions, statements, types, functions, contracts, and modules), but it is much more than an enumeration of features. Inside the book you will find In-depth explanations, with idiomatic examples, for all language features How feature groups support major programming paradigms Rationale and best-use advice for each major feature Discussion of cross-cutting issues, such as error handling, contract programming, and concurrency Tables, figures, and "cheat sheets" that serve as a handy quick reference for day-to-day problem solving with D Written for the working programmer, The D Programming Language not only introduces the D language--it presents a compendium of good practices and idioms to help both your coding with D and your coding in general.

    But the fact is: Problems in the world are mounting. War, famine, and strife exist at alarming rates. Not to mention that the level of respect within our families and communities seems to be fraying. Simply put, our behavior is not up to par these days; it is spiraling downward. Why? We’re not connecting the dots. In the arenas of psychology, teaching, coaching, and parenting, we’re using behavioral strategies to boost inner levels of clarity and consciousness—to no avail. So, if focusing on behavior isn’t working, what will? The Path of No Resistance provides a brand-new look at how human beings really overcome adversity. Along the way, Garret Kramer reveals the astonishing truth about what creates our troubles in the first place. And what we already know, deep down, that allows us to prosper in spite of any circumstance or situation. Offering an array of examples, Kramer demonstrates that resilience and contentment are—in principle—innate to everyone. He insists that calculated self-help methods are not the answer, and explains why insight, not intellect, is what fuels our ability to excel and give back to others.

    They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.

    But after falling backwards into the specialty, Dr. Fulkerson found neurosurgery to be a field filled with joy, sadness, a little humor, and courageous and inspiring patients.In an honest and compelling retelling of his long and winding road to train and then practice as a pediatric neurosurgeon, Dr. Fulkerson guides others through his journey from medical school to service on a small military base, through residency training, and finally, to a practice in a highly specialized children's hospital. The journey reveals the dramatic swings of emotions experienced by both patients and doctors in an increasingly hostile medical environment. Dr. Fulkerson also shares stories of dedicated professors who train medical students and resident surgeons to care for the tiniest neurosurgical patients.Nothing Good Happens at ... The Baby Hospital offers a compelling glimpse into the joys, tragedies, and hopeful moments that surround the highly specialized and sometimes silly world of pediatric neurosurgery.

    When there aren’t enough of them, or they aren’t working properly, chronic diseases can manifest and persist. From industry leaders, sport stars, and Hollywood icons to thousands of everyday, ordinary people, stem cell therapy has helped when standard medicine failed. Many of them had lost hope. These are their stories. Neil H Riordan, author of MSC: Clinical Evidence Leading Medicine’s Next Frontier, the definitive textbook on clinical stem cell therapy, brings you an easy-to-read book about how and why stem cells work, and why they’re the wave of the future. “Neil takes readers on a riveting journey through the past, present and future of stem cell therapy. His well-researched, educational and entertaining book could change your life. I highly recommend it.” Tony Robbins, NY Times #1 Bestselling Author 100 years old will soon become the new 60. Stem cells are a key therapeutic to enable this future. Dr. Riordan’s book is your guide to why this is true and how you will benefit. A must read for anyone who cares about extending their healthy lifespan.” Peter H. Diamandis, MD; Founder, XPRIZE & Singularity University; Co-Founder, Human Longevity, Inc.; Author of NY Times Best Sellers Abundance and Bold

    Stephen Cox, professor of literatureat the University of California at San Diego, spoke on "The LiteraryAchievement of The Fountainhead" and David Kelley, executive director of TheObjectivist Center, discussed "The Code of the Creator." This commemorativemonograph contains the text of both lectures and other material about AynRand's classic novel.