It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What hap­pens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?  Who knows—maybe there’s a bot learning to do your job this minute.

    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

    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.

    How did that day you've forgotten look? What did it feel like? Were you lonely? Did you have the sense you were progressing anywhere? Probably not. Yet string a few thousand of them together and that's a life. --From Boy WondersCathal Kelly grew up in the seventies and eighties, decades when dressing like Michael Jackson seemed like a good idea and The Beachcombers--an adventure show about logging--seemed to make sense. But apart from fashion missteps and baffling TV plotlines, Kelly's youth was a time of wonder, obsession and discovery. Navigating an often fraught fam­ily life, Kelly sought refuge in books, music, movies, games and at least one backyard hole. However, looking back he sees that his passion for George Orwell, Star Wars or The Smiths was never just about the book, movie or band. Rather, it was about the promise each new experience offered him in making sense of the world, and how he might find a home within it.By turns funny, elegiac and insightful, Boy Wonders is an unvarnished celebration of grow­ing up and stumbling toward identity. It's about the good and the bad of those brief years when we find purpose without end, obsession with­out limit and joy in the strangest of places.

    We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is “probably approximately correct” algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant’s theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life’s complexity, Probably Approximately Correct has profound implications for how we think about behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.

    Gödel received public recognition of his work in 1951 when he was awarded the first Albert Einstein Award for achievement in the natural sciences--perhaps the highest award of its kind in the United States. The award committee described his work in mathematical logic as "one of the greatest contributions to the sciences in recent times."However, few mathematicians of the time were equipped to understand the young scholar's complex proof. Ernest Nagel and James Newman provide a readable and accessible explanation to both scholars and non-specialists of the main ideas and broad implications of Gödel's discovery. It offers every educated person with a taste for logic and philosophy the chance to understand a previously difficult and inaccessible subject.New York University Press is proud to publish this special edition of one of its bestselling books. With a new introduction by Douglas R. Hofstadter, this book will appeal students, scholars, and professionals in the fields of mathematics, computer science, logic and philosophy, and science.

    Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness.In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways.Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.

    Robots are becoming increasingly dextrous, flexible, and safe to be around (except the military ones!).  It is our most powerful technology, and you need to understand it. This new book from best-selling AI writer Calum Chace argues that within a few decades, most humans will not be able to work for money.  Self-driving cars will probably be the canary in the coal mine, providing a wake-up call for everyone who isn’t yet paying attention. All jobs will be affected, from fast food McJobs to lawyers and journalists. This is the single most important development facing humanity in the first half of the 21st century. The fashionable belief that Universal Basic Income is the solution is only partly correct.  We are probably going to need an entirely new economic system, and we better start planning soon - for the Economic Singularity! The outcome can be very good – a world in which machines do all the boring jobs and humans do pretty much what they please. But there are major risks, which we can only avoid by being alert to the possible futures and planning how to avoid the negative ones.

     Returning home to a job I didn’t enjoy, that dream burned at my mind until, as a mature student in 1999, I was given the opportunity to take a year out and decided now was my time. This was at a time of huge advances in communication technology but I chose to journey without a mobile phone or any other means of communicating with the outside world – something we might struggle to comprehend these days. If I got into trouble, if I got injured, if I became lost, it was up to me to sort myself out. No close friends were willing to leave the comforts of home, so the fledgling internet did at least prove useful in finding a travel companion. But within nine days of the start of my journey I found myself alone, close to the bottom of the world and with many thousands of miles of the unknown still ahead. This book tells how the desire to fulfil a burning ten-year dream helped me overcome illness, injury, exhaustion, loneliness and so much more; how I, a normal guy from a working-class family in Leeds – among many other adventures – found myself singing to bears to keep them at bay, ran out of water crossing the driest desert in the world, had a volcano rain ash down on me and found myself hiding out from bandits most nights while pedalling through Mexico.

    Introduction to Artificial Intelligence presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades. You'll find lucid, easy-to-read coverage of problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis and specific artificial-intelligence accomplishments. Related subjects are also included: predicate-calculus theorem proving, machine architecture, psychological simulation, automatic programming, novel software techniques, industrial automation and much more.A supplementary section updates the original book with major research from the decade 1974-1984. Abundant illustrations, diagrams and photographs enhance the text, and challenging practice exercises at the end of each chapter test the student's grasp of each subject.The combination of introductory and advanced material makes Introduction to Artificial Intelligence ideal for both the layman and the student of mathematics and computer science. For anyone interested in the nature of thought, it will inspire visions of what computer technology might produce tomorrow.

    Among the advertiser's references was the U.S. district attorney who was responsible for his arrest in 1990. The O'Dea family is well known in the Canadian province of Newfoundland, where Brian's father owned the local brewery before going into politics. But the family's prominence could not protect their middle son. Abused as a child by his local priest, Brian turned to using and selling drugs for the escape and excitement they offered. By the early 1980s, he was operating a $100 million a year, 120-man business, and had developed a terrifying cocaine addiction. Under increasing threat from the DEA in 1986, he quit the trade - and the drugs - and began working with recovering addicts in Santa Barbara. Despite his life change, the authorities caught up with him years later and Brian was arrested, tried, and sentenced to ten years at Terminal Island Federal Penitentiary in Los Angeles Harbor. A born storyteller, Brian O'Dea candidly recounts his incredible experiences in the streets of Bogota with a false-bottom suitcase lined with cocaine, to the engine compartment of an old DC-6 whose engines were failing over the Pacific, to the cell blocks overcrowded with small-time dealers who had fallen victim to the justice system's perverse bureaucracy of drug sentencing. Weaving together extracts from his prison diary with the vivid recounting of his outlaw years and the dawning recognition of those things in his life that were worth living for, High tells the remarkable story of a remarkable man in the late-1980s drug business.

    Fearing that he would be blamed and sensing that his wife was somehow involved, he wanted to do all to protect his young family. Jamie worked through the night to dispose of the body all the while disbelieving the situation he found himself in. His luck ran out days later as he was arrested and sentenced to 13 years in prison. Jamie entered the U.S. prison system and was to stay there for 34 years with stints in San Quentin, Folsom State Prison and the notorious Deuel Vocational Institution (DVI) in California. He would rub shoulders with some of the world’s most infamous serial killers such as Charles Manson, Edmund Kemper, Charles Tex Watson and Herbie Mullin as well as gangs such as the Aryan Brotherhood and Mexican cartels. This book tells of his time: locked up with no hope of release, living the brutality of the unforgiving penitentiary system and finding his new purpose in life, as well as tales of his many run-ins with some of the world’s most dangerous inmates.

    Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us For all readers interested in statistics.

    Beginning with the macromolecules of DNA and RNA, the author shows how, step-by-step, animal life moved from the simple ability to respond to frequently recurring environmental conditions to much more powerful ways of beating the odds, ways of using patterns of past experience to predict the future in never-before-encountered situations. Whether talking about robots whose video-camera ”eyes” give us the powerful illusion that ”there is somebody in there” or asking us to consider whether spiders are just tiny robots mindlessly spinning their webs of elegant design, Dennett is a master at finding and posing questions sure to stimulate and even disturb.

     It is easy to be overwhelmed by the amount of information we encounter each day. Whether at work, at school, or in our personal endeavors, there’s a deepening (and inescapable) need for people to work with and understand information. Information architecture is the way that we arrange the parts of something to make it understandable as a whole. When we make things for others to use, the architecture of information that we choose greatly affects our ability to deliver our intended message to our users. We all face messes made of information and people. I define the word “mess” the same way that most dictionaries do: “A situation where the interactions between people and information are confusing or full of difficulties.” — Who doesn’t bump up against messes made of information and people every day? This book provides a seven step process for making sense of any mess. Each chapter contains a set of lessons as well as workbook exercises architected to help you to work through your own mess.