Whether discussing Greek art and thought, vindicating the church’s battle with Galileo, exploring the development of quantum physics or exposing the dogmatism of Karl Popper, Feyerabend defends a relativist and historicist notion of the sciences. The appeal to reason, he insists, is empty, and must be replaced by a notion of science that subordinates it to the needs of citizens and communities.Provocative, polemical and rigorously argued, Farewell to Reason will infuriate Feyerabend’s critics and delight his many admirers.

    From the ancient Greeks to twenty-first century movies, robots in human form have captured our imagination, our hopes and our fears. But beyond the fantasies there are real and fundamental questions about our relationship with technology as it moves into the realm of robotics. Artificial intelligence raises very real concerns. Sexual activity is central to our very existence; it shapes how we think, how we act and how we live. With advances in technology come machines that may one day think independently. What will happen to us when we form close relationships with these intelligent systems?Chapter by chapter, this book will build on the science and the philosophy surrounding our most intimate relationship with technology. The scene is set with the history of the artificial sexual companion, then goes on to explore the "modern" robot and the twentieth century sci-fi that promised us our own robot slaves. An explanation of artificial intelligence and the urge to create sentient machines delves into our own psychology: how does desire affect our own behavior, and can we become attached to an inanimate object? Can robots make society a better place? And what can go wrong?Sex robots are here, and here to stay--and more are coming. This book explores how the emerging and future development of sexual companion robots might affect us, and our society. It explores the social changes arising from emerging technologies, and our relationships with the machines that may someday care for us and about us.

    Have you ever stopped to think about what it is that will make your life worth living? Is it the large amount of money that you have in the bank? The prestigious education that you have? The family and friends that surround you? Or your spiritual belief that there is someone greater than you in the world? Most people will spend their entire lifetimes trying to figure it out, but only a few will have the privilege of really understanding and experiencing themselves what it means to live a fulfilled life. Over the past years, we’ve seen many life philosophies take center stage, all claiming to hold to secret to happiness and fulfillment. While all of them may have very convincing premises, only one truly stands out. Ikigai, or the Japanese concept of finding your purpose, is the key to living a meaningful life. If there’s one people group who have mastered the art of living - and living well, it’s definitely the Okinawans of Japan. Famous for being the world’s longest-living people, they attribute their joy and contentment to finding their ikigai. It’s the reason why they live longer, happier, and better lives than the rest of us. So how does knowing your ikigai change your life? And what should you do to help you uncover your ikigai? Well, you’ll discover all that and more after you’ve listened to this audiobook. This audiobook is packed with helpful insights that will change not just the way you think, but also the way you live. You’ll learn how to slow down and let go of the things that stop you from finding your ultimate purpose. This audiobook will also give you the blueprint to living the life that you always wanted so you won’t have to feel your life is meaningless ever again. I hope that through this audiobook, you will see joy, meaning, and purpose in every single day of your life.©2018 Zen Mastery (P)2018 Zen Mastery

    Songs and Portobellos is a magical story that captures the creativity and clarity of perception that young people possess.The book centres on the development of teenagers Conor and Melanie during the summer of 1967 and explores the influences that bring them to understand their uniqueness.By the end of the summer they have transcended the ordinary, discovered who they are and determined what they stand for.

    Bruno Latour's contention is that the word "social" as used by Social Scientists has become laden with assumptions to the point where it has become a misnomer. When the adjective is applied to a phenomenon, it is used to indicate a stabilized state of affairs, a bundle of ties that in due course may be used to account for another phenomenon. Latour also finds the word used as if it described a type of material, in a comparable way to an adjective such as "wooden" or "steely".Rather than simply indicating what is already assembled together, it is now used in a way that makes assumptions about the nature of what is assembled. It has become a word that designates two distinct things: a process of assembling: and a type of material, distinct from others. Latour shows why "the social" cannot be thought of as a kind of material or domain, and disputes attempts to provide a "social explanation" of other states of affairs. While these attempts have been productive (and probably necessary) in the past, the very success of the social sciences mean that they are largely no longer so. At the present stage it is no longer possible to inspect the precise constituents entering the social domain. Latour returns to the original meaning of "the social" to redefine the notion and allow it to trace connections again. It will then be possible to resume the traditional goal of the social sciences, but using more refined tools. Drawing on his extensive work examining the "assemblages" of nature, Latour finds it necessary to scrutinize thoroughly the exact content of what is assembled under the umbrella of Society. This approach, a "sociology of associations" has become known as Actor-Network-Theory, and this book is an essential introduction both for those seeking to understand Actor-Network-Theory, or the ideas of one of its most influential proponents.

    AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to -good old fashioned artificial intelligence, - which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns -- as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there's no more soy milk.Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence -- the Winograd Schema Test, developed by Levesque and his colleagues. -If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it, - he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed.

    Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality -- the study of cause and effect -- on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

    But can machines really think? Is the mind just a complicated computer program? Introducing Artificial Intelligence focuses on the issues behind one of science's most difficult problems.

    As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure — but as Kaplan warns, the transition may be protracted and brutal unless we address the two great scourges of the modern developed world: volatile labor markets and income inequality. He proposes innovative, free-market adjustments to our economic system and social policies to avoid an extended period of social turmoil. His timely and accessible analysis of the promise and perils of artificial intelligence is a must-read for business leaders and policy makers on both sides of the aisle.

    Illogical Atheism comprises a comprehensive four-part analysis of the deep-seated philosophical tensions in the New Atheist agenda and serves as one of but a handful of important books seeking to alert the public consciousness toward the propagandist maneuvers of the the Freethinking community's most prominent figureheads. No stone is left unturned as Jinn takes all Four Famed Horsemen to task.

    Increasingly, the decisions that affect our lives--where we go to school, whether we can get a job or a loan, how much we pay for health insurance--are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination--propping up the lucky, punishing the downtrodden, and undermining our democracy in the process.

    Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research.ContributorsRodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

    Self-knowledge matters so much because it is only on the basis of an accurate sense of who we are that we can make reliable decisions – particularly around love and work. This book takes us on a journey into our deepest, most elusive selves and arms us with a set of tools to understand our characters properly. We come away with a newly clarified sense of who we are, what we need to watch out for when making decisions, and what our priorities and potential might be.

    Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer winning in games like Jeopardy and go does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules. These approaches are too narrow to achieve genuine intelligence. The world we live in is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Marcus and Davis show us what we need to first accomplish before we get there and argue that if we are wise along the way, we won't need to worry about a future of machine overlords. If we heed their advice, humanity can create an AI that we can trust in our homes, our cars, and our doctor's offices. Reboot provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of what we can achieve and how AI can make our lives better.