One island, two unique societies (Norse and Inuit). Only one of these societies would succeed--the other would fail. But how? With his trademark accessibility and comprehensiveness, Diamond documents how environmental damage, climate change, loss of friendly contacts and the rise of hostile ones, and the unique political, economic, and social settings of prehistoric Greenland combine to demonstrate exactly why and how societies choose to fail or succeed. Jared Diamond's latest book, "The World Until Yesterday: What Can We Learn from Traditional Societies?," is available from Viking.

    Based on his life's research, the author of the bestseller The Psychology of Consciousness provides a provocative look at the evolution of the mind.In Evolution of Consciousness Robert Ornstein explains that we are not rational but adaptive, and that it is Darwin, not Freud, who is the central scientist of the brain.

    This play which won the author a Pulitzer Prize and a Tony award presents the lead character, Willy Loman (played over time by Lee J Cobb, George C Scott, Dustin Hoffman, and Brian Dennehy, among others), who has come to represent the middle-class struggle.

    Our instincts—for food, sex, or territorial protection— evolved for life on the savannahs 10,000 years ago, not in today’s world of densely populated cities, technological innovations, and pollution. We now have access to a glut of larger-than-life objects, from candy to pornography to atomic weapons—that gratify these gut instincts with often-dangerous results. Animal biologists coined the term “supernormal stimuli” to describe imitations that appeal to primitive instincts and exert a stronger pull than real things, such as soccer balls that geese prefer over eggs. Evolutionary psychologist Deirdre Barrett applies this concept to the alarming disconnect between human instinct and our created environment, demonstrating how supernormal stimuli are a major cause of today’s most pressing problems, including obesity and war. However, Barrett does more than show how unfettered instincts fuel dangerous excesses. She also reminds us that by exercising self-control we can rein them in, potentially saving ourselves and civilization. 55 illustrations.

    Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    This means that we have made it easy for you to navigate the various chapters of this book. Some other versions of this book may not have the DirectLink technology built into them. We can guarantee that if you buy this version of the book it will be formatted perfectly on your Kindle.

    For Coyote, the twin forces Dylan identifies as Texas Medicine and Railroad Gin – represent the competing forces of the transcendental, inclusive, and ecstatic world of love with the competitive, status-seeking world of wealth and power. The Rainman’s Third Cure is the tale of a young man caught between these apparently antipodal options and the journey that leads him from the privileged halls of power to Greenwich Village jazz bars, to jail, to the White House, lessons from a man who literally held the power of life and death over others, to government service and international success on stage and screen.Expanding his frame beyond the wild ride through the 1960’s counterculture that occupied so much of his lauded debut memoir, Sleeping Where I Fall, Coyote provides readers intimate portraits of mentors that shaped him—a violent, intimidating father, a be-bop Bass player who teaches him that life can be improvised, a Mafia consiglieri, who demonstrates to him that men can be bought and manipulated, an ex game-warden who initates him into the laws of nature, a gay dancer in Martha Graham’s company who introduces him to Mexico and marijuanas, beat poet Gary Snyder, who introduces him to Zen practice, and finally famed fashion designer Nino Cerruti who made the high-stakes world of haute monde Europe available to him.What begins as a peripatetic flirtation with Zen deepens into a life-long avocation, ordination as a priest, and finally the road to Transmission---acknowledgement from his teacher that he is ready to be an independent teacher. Through Zen, Coyote discovers a third option that offers an alternative to both the worlds of Love and Power’s correlatives of status seeking and material wealth. Zen was his portal, but what he discovers on the inside is actually available to all humans. In this energetic, reflective and intelligent memoir, The Rainman’s Third Cure is the way out of the box. The way that works.

    Following a lucid introduction is a penetrating interview with Chomsky, in which he provides the clearest and most elegant introduction to current theory available. It makes his Minimalist Program accessible to all. The volume concludes with an essay on the role of intellectuals in society and government. A significant landmark in the development of linguistic theory, On Nature and Language will be welcomed by students and researchers in theoretical linguistics, neurolinguistics, cognitive science and politics, as well as anyone interested in the development of Chomsky's thought. Noam Chomsky is Professor of Linguistics at the Massachusetts Institute of Technology. Chomsky has written and lectured extensively on philosophy, intellectual history, and international affairs. His works include The Architecture of Language, Aspects of the Theory of Syntax; Cartesian Linguistics; Language and Mind; American Power and the New Mandarins; At War with Asia; For Reasons of State; Peace in the Middle East? Reflections on Language; Rules and Representations; The Culture of Terrorism; Rethinking Camelot; JFKm the Vietnam War and US Political Culture; World Orders, Old and New and The Common Good.

    Beset from all sides by a never-ending barrage of media, how can we ensure that the most accurate information emerges and is heeded? In this book, Cass R. Sunstein develops a deeply optimisticunderstanding of the human potential to pool information, and to use that knowledge to improve our lives.In an age of information overload, it is easy to fall back on our own prejudices and insulate ourselves with comforting opinions that reaffirm our core beliefs. Crowds quickly become mobs. The justification for the Iraq war, the collapse of Enron, the explosion of the space shuttle Columbia--all ofthese resulted from decisions made by leaders and groups trapped in information cocoons, shielded from information at odds with their preconceptions. How can leaders and ordinary people challenge insular decision making and gain access to the sum of human knowledge?Stunning new ways to share and aggregate information, many Internet-based, are helping companies, schools, governments, and individuals not only to acquire, but also to create, ever-growing bodies of accurate knowledge. Through a ceaseless flurry of self-correcting exchanges, wikis, coveringeverything from politics and business plans to sports and science fiction subcultures, amass--and refine--information. Open-source software enables large numbers of people to participate in technological development. Prediction markets aggregate information in a way that allows companies, rangingfrom computer manufacturers to Hollywood studios, to make better decisions about product launches and office openings. Sunstein shows how people can assimilate aggregated information without succumbing to the dangers of the herd mentality--and when and why the new aggregation techniques are soastoundingly accurate.In a world where opinion and anecdote increasingly compete on equal footing with hard evidence, the on-line effort of many minds coming together might well provide the best path to infotopia.

    Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective.Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.

    Converging findings from a variety of disciplines are leading to the emergence of a fundamentally new view of the human mind, and with it a new framework for the behavioral and social sciences. First, with the advent of the cognitive revolution, human nature can finally be defined precisely as the set of universal, species-typical information-processing programs that operate beneath the surface of expressed cultural variability. Second, this collection of cognitive programs evolved in the Pleistocene to solve the adaptive problems regularly faced by our hunter-gatherer ancestors--problems such as mate selection, language acquisition, cooperation, and sexual infidelity. Consequently, the traditional view of the mind as a general-purpose computer, tabula rasa, or passive recipient of culture is being replaced by the view that the mind resembles an intricate network of functionally specialized computers, each of which imposes contentful structure on human mental organization and culture. The Adapted Mind explores this new approach--evolutionary psychology--and its implications for a new view of culture.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    This fascination is driven by the ancient chemical forces that first drew humans and animals together. It is also the same biology that transformed wolves into dogs and skittish horses into valiant comrades that would carry us into battle.Made for Each Other is the first book to explain how this chemistry of attraction and attachment flows through--and between--all mammals to create the profound emotional bonds humans and animals still feel today.Drawing on recent discoveries from neuroscience, evolutionary biology, behavioral psychology, archeology, as well as her own investigations, Meg Daley Olmert explains why the brain chemistry humans and animals trigger in each other also has a profound effect on our mental and physical well being.This lively and original investigation asks what happens when the bond is severed. If thousands of years of caring for animals infused us with a biology that shaped our hearts and minds, do we dare turn our back on it? Daley Olmert makes a compelling and scientific case for what our hearts have always known, that we were, and always will be, made for each other.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions