Vividly bringing to life the latest scientific research in psychology, cognitive neuroscience, philosophy, and behavioral economics, Gilbert reveals what scientists have discovered about the uniquely human ability to imagine the future, and about our capacity to predict how much we will like it when we get there. With penetrating insight and sparkling prose, Gilbert explains why we seem to know so little about the hearts and minds of the people we are about to become.

    This new edition incorporates the striking developments that have taken place in neuroscience, cognitive science, and artificial intelligence and notes their expanding relevance to philosophical issues.Churchland organizes and clarifies the new theoretical and experimental results of the natural sciences for a wider philosophical audience, observing that this research bears directly on questions concerning the basic elements of cognitive activity and their implementation in real physical systems. (How is it, he asks, that living creatures perform some cognitive tasks so swiftly and easily, where computers do them only badly or not at all?) Most significant for philosophy, Churchland asserts, is the support these results tend to give to the reductive and the eliminative versions of materialism."A Bradford Book"

    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.

    It is believed that we must commit 10,000 hours to master a skill.  According to Lieberman, each of us has spent 10,000 hours learning to make sense of people and groups by the time we are ten.  Social argues that our need to reach out to and connect with others is a primary driver behind our behavior.  We believe that pain and pleasure alone guide our actions.  Yet, new research using fMRI – including a great deal of original research conducted by Lieberman and his UCLA lab -- shows that our brains react to social pain and pleasure in much the same way as they do to physical pain and pleasure.  Fortunately, the brain has evolved sophisticated mechanisms for securing our place in the social world.  We have a unique ability to read other people’s minds, to figure out their hopes, fears, and motivations, allowing us to effectively coordinate our lives with one another.  And our most private sense of who we are is intimately linked to the important people and groups in our lives.  This wiring often leads us to restrain our selfish impulses for the greater good.  These mechanisms lead to behavior that might seem irrational, but is really just the result of our deep social wiring and necessary for our success as a species.   Based on the latest cutting edge research, the findings in Social have important real-world implications.  Our schools and businesses, for example, attempt to minimalize social distractions.  But this is exactly the wrong thing to do to encourage engagement and learning, and literally shuts down the social brain, leaving powerful neuro-cognitive resources untapped.  The insights revealed in this pioneering book suggest ways to improve learning in schools, make the workplace more productive, and improve our overall well-being.

    Vygotsky analyzes the relationship between words and consciousness, arguing that speech is social in its origins and that only as children develop does it become internalized verbal thought.Now Alex Kozulin has created a new edition of the original MIT Press translation by Eugenia Hanfmann and Gertrude Vakar that restores the work's complete text and adds materials that will help readers better understand Vygotsky's meaning and intentions. Kozulin has also contributed an introductory essay that offers new insight into the author's life, intellectual milieu, and research methods.

    Statistics show that we are interrupted every three minutes during the course of the work day. Multitasking between email, cell-phone, text messages, and four or five websites while listening to an iPod forces the brain to process more and more informaton at greater and greater speeds. And yet the human brain has hardly changed in the last 40,000 years. Are all these high-tech advances overtaxing our Stone-Age brains or is the constant flood of information good for us, giving our brains the daily exercise they seem to crave?In The Overflowing Brain, cognitive scientist Torkel Klingberg takes us on a journey into the limits and possibilities of the brain. He suggests that we should acknowledge and embrace our desire for information and mental challenges, but try to find a balance between demand and capacity. Klingberg explores the cognitive demands, or "complexity," of everyday life and how the brain tries to meet them. He identifies different types of attention, such as stimulus-driven and controlled attention, but focuses chiefly on "working memory," our capacity to keep information in mind for short periods of time. Dr Klingberg asserts that working memory capacity - long thought to be static and hardwired in the brain - can be improved by training, and that the increasing demands on working memory may actually have a constructive effect: as demands on the human brain increase, so does its capacity.The book ends with a discussion of the future of brain development and how we can best handle information overload in our everyday lives. Klingberg suggests how we might find a balance between demand and capacity and move from feeling overwhelmed to deeply engaged.

    Corporations & government agencies around the world are pouring billions into achieving AI’s Holy Grail—human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful & more alien than we can imagine. Thru profiles of tech visionaries, industry watchdogs & groundbreaking AI systems, James Barrat's Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? Will they allow us to?

    It will enable making a design for almost any kind of building, or any part of the built environment. ‘Patterns,’ the units of this language, are answers to design problems: how high should a window sill be?; how many stories should a building have?; how much space in a neighborhood should be devoted to grass and trees?More than 250 of the patterns in this language are outlined, each consisting of a problem statement, a discussion of the problem with an illustration, and a solution. As the authors say in their introduction, many of the patterns are archetypal, so deeply rooted in the nature of things that it seems likely that they will be a part of human nature and human action as much in five hundred years as they are today.A Pattern Language is related to Alexander’s other works in the Center for Environmental Structure series: The Timeless Way of Building (introductory volume) and The Oregon Experiment.

    Now, in his most comprehensive book yet on the topic, Buzan reveals exciting new ways to improve one's memory, concentration, creativity, ability to learn, and more.

    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.

    Each chapter addresses a central scientific issue but does so in a way that is lively and completely accessible. Issues discussed include whether there are several different types of intelligence, whether intelligence differences are caused by genes or the environment, the biological basis of intelligence levels, and whether intelligence declines as we grow older. About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    All chapters in this best-seller have been substantially revised to reflect recent discoveries and new understanding of linguistics and languages.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    Gladwell showed us how snap decisions often yield better results than careful analysis. Now, Gigerenzer explains why our intuition is such a powerful decision-making tool. Drawing on a decade of research at the Max Plank Institute, Gigerenzer demonstrates that our gut feelings are actually the result of unconscious mental processes—processes that apply rules of thumb that we’ve derived from our environment and prior experiences. The value of these unconscious rules lies precisely in their difference from rational analysis—they take into account only the most useful bits of information rather than attempting to evaluate all possible factors. By examining various decisions we make—how we choose a spouse, a stock, a medical procedure, or the answer to a million-dollar game show question—Gigerenzer shows how gut feelings not only lead to good practical decisions, but also underlie the moral choices that make our society function. In the tradition of Blink and Freakonomics, Gut Feelings is an exploration of the myriad influences and factors (nature and nurture) that affect how the mind works, grounded in cutting-edge research and conveyed through compelling real-life examples.

    His theoretical insights are grounded in an extended analysis of ship navigation -- its computational basis, its historical roots, its social organization, and the details of its implementation in actual practice aboard large ships. The result is an unusual interdisciplinary approach to cognition in culturally constituted activities outside the laboratory -- "in the wild."Hutchins examines a set of phenomena that have fallen in the cracks between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition. The standard view is that culture affects the cognition of individuals. Hutchins argues instead that cultural activity systems have cognitive properties of their own that are different from the cognitive properties of the individuals who participate in them. Each action for bringing a large naval vessel into port, for example, is informed by culture: the navigation team can be seen as a cognitive and computational system.Introducing Navy life and work on the bridge, Hutchins makes a clear distinction between the cognitive properties of an individual and the cognitive properties of a system. In striking contrast to the usual laboratory tasks of research in cognitive science, he applies the principal metaphor of cognitive science -- cognition as computation (adopting David Marr's paradigm) -- to the navigation task. After comparing modern Western navigation with the method practiced in Micronesia, Hutchins explores the computational and cognitive properties of systems that are larger than an individual. He then turns to an analysis of learning or change in the organization of cognitive systems at several scales. Hutchins's conclusion illustrates the costs of ignoring the cultural nature of cognition, pointing to the ways in which contemporary cognitive science can be transformed by new meanings and interpretations. A Bradford Book