The Perennial Philosophy includes selections from Meister Eckhart, Rumi, and Lao Tzu, as well as the Bhagavad Gita, Tibetan Book of the Dead, Diamond Sutra, and Upanishads, among many others.

    Topics: elimination of metaphysics, function of philosophy, nature of philosophical analysis, the a priori, truth & probability, critique of ethics & theology, self & the common world etc.IntroductionThe elimination of metaphysicsThe function of philosophy The nature of philosophical analysisThe a priori Truth & probabilityCritique of ethics & theologyThe self & the common worldSolutions of outstanding philosophical disputesIndex

    What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    Brian Arthur puts forth the first complete theory of the origins and evolution of technology, in a major work that achieves for the invention of new technologies what Darwin’s theory achieved for the emergence of new species. Brian Arthur is a pioneer of complexity theory and the discoverer of the highly influential "theory of increasing returns," which took Silicon Valley by storm, famously explaining why some high-tech companies achieve breakaway success. Now, in this long-awaited and ground-breaking book, he solves the great outstanding puzzle of technology—where do transformative new technologies come from?—putting forth the first full theory of how new technologies emerge and offering a definitive answer to the mystery of why some cultures—Silicon Valley, Cambridge, England in the 1920s—are so extraordinarily inventive. He has discovered that rather than springing from insight moments of individual genius, new technologies arise in a process akin to evolution. Technology evolves by creating itself out of itself, much as a coral reef builds itself from activities of small organisms. Drawing on a wealth of examples, from the most ancient to cutting-edge inventions of today, Arthur takes readers on a delightful intellectual journey, bringing to life the wonders of this process of technological evolution. The Nature of Technology is the work of one of our greatest thinkers at the top of his game, composing a classic for our times that is sure to generate wide acclaim.

    The Computer Revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before.But our love of computers should not cloud our thinking about their limitations.We are told that computers are smarter than humans and that data mining can identify previously unknown truths, or make discoveries that will revolutionize our lives. Our lives may well be changed, but not necessarily for the better. Computers are very good at discovering patterns, but are uselessin judging whether the unearthed patterns are sensible because computers do not think the way humans think.We fear that super-intelligent machines will decide to protect themselves by enslaving or eliminating humans. But the real danger is not that computers are smarter than us, but that we think computers are smarter than us and, so, trust computers to make important decisions for us.The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

    From Edward Lorenz’s discovery of the Butterfly Effect, to Mitchell Feigenbaum’s calculation of a universal constant, to Benoit Mandelbrot’s concept of fractals, which created a new geometry of nature, Gleick’s engaging narrative focuses on the key figures whose genius converged to chart an innovative direction for science. In Chaos, Gleick makes the story of chaos theory not only fascinating but also accessible to beginners, and opens our eyes to a surprising new view of the universe.

    As a result, East Asian thought is “holistic”—drawn to the perceptual field as a whole and to relations among objects and events within that field. By contrast, Westerners focus on salient objects or people, use attributes to assign them to categories, and apply rules of formal logic to understand their behavior. From feng shui to metaphysics, from comparative linguistics to economic history, a gulf separates the children of Aristotle from the descendants of Confucius. At a moment in history when the need for cross-cultural understanding and collaboration have never been more important, The Geography of Thought offers both a map to that gulf and a blueprint for a bridge that will span it.

    Somehow, within each of our brains, billions of neurons work to create our conscious experience. How does this happen? Why do we experience life in the first person? After over twenty years researching the brain, world-renowned neuroscientist Anil Seth puts forward a radical new theory of consciousness and self. His unique theory of what it means to 'be you' challenges our understanding of perception and reality and it turns what you thought you knew about yourself on its head.'Awe-inspiring and humane.' NEW STATESMAN (Books of the Year)'Fascinating.' FINANCIAL TIMES (Books of the Year)'Profound.' GUARDIAN (Books of the Year)'Brilliant.' CLAIRE TOMALIN, NEW YORK TIMES'Outstanding.' PSYCHOLOGY TODAY 'Amazing . . . a brilliant read.'RUSSELL BRAND'Beautifully written, crystal clear, deeply insightful.'DAVID EAGLEMAN, Pulitzer Prize-nominated author of Livewired'Offers us new cause for astonishment and wonder.'ANNAKA HARRIS, author of Conscious'A fascinating book. A joy to read.'NIGEL WARBURTON'Truly compelling.'PROFESSOR KARL FRISTON, Universty College London'A wonderfully accessible and comprehensive account.'SEAN CARROLL, author of Something Deeply Hidden

    Bestselling authors Ian Stewart and Jack Cohen (The Collapse of Chaos, 1994) eloquently argue that our minds evolved within an inextricable link with culture and language. They go beyond conventional views of the function and purpose of the mind to look at the ways that the mind is the response of an evolving brain that is constantly adjusting to a complex environment. Along the way they develop new and intriguing insights into the nature of evolution, science, and humanity that will challenge conventional views on consciousness. The esteemed authors tantalize the reader with these bold new outlooks while putting a revolutionary spin on such classic philosophical problems as the nature of free will and the essence of humanity. This clearly written and enjoyable book will inspire any educated reader to critically evaluate the existing notions of the nature of the human mind.

    Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." --Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching"This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." --Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education"Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." --Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching"As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." --From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

    The Structure of Scientific Revolutions is that kind of book. When it was first published in 1962, it was a landmark event in the history and philosophy of science. Fifty years later, it still has many lessons to teach. With The Structure of Scientific Revolutions, Kuhn challenged long-standing linear notions of scientific progress, arguing that transformative ideas don’t arise from the day-to-day, gradual process of experimentation and data accumulation but that the revolutions in science, those breakthrough moments that disrupt accepted thinking and offer unanticipated ideas, occur outside of “normal science,” as he called it. Though Kuhn was writing when physics ruled the sciences, his ideas on how scientific revolutions bring order to the anomalies that amass over time in research experiments are still instructive in our biotech age. This new edition of Kuhn’s essential work in the history of science includes an insightful introduction by Ian Hacking, which clarifies terms popularized by Kuhn, including paradigm and incommensurability, and applies Kuhn’s ideas to the science of today. Usefully keyed to the separate sections of the book, Hacking’s introduction provides important background information as well as a contemporary context.  Newly designed, with an expanded index, this edition will be eagerly welcomed by the next generation of readers seeking to understand the history of our perspectives on science.

    This book provides eloquent support for the idea that spontaneous neuron activity, far from being mere noise, is actually the source of our cognitive abilities. It takes a fresh look at the co-evolution of structure and function in the mammalian brain, illustrating how self-emerged oscillatory timing is the brains fundamental organizer of neuronal information. The small world-like connectivity of the cerebral cortex allows for global computation on multiple spatial and temporal scales. The perpetual interactions among the multiple network oscillators keep cortical systems in a highly sensitive metastable state and provide energy-efficient synchronizing mechanisms via weak links.In a sequence of cycles, Gy�rgy Buzs�ki guides the reader from the physics of oscillations through neuronal assembly organization to complex cognitive processing and memory storage. His clear, fluid writing accessible to any reader with some scientific knowledge is supplemented by extensive footnotes and references that make it just as gratifying and instructive a read for the specialist. The coherent view of a single author who has been at the forefront of research in this exciting field, this volume is essential reading for anyone interested in our rapidly evolving understanding of the brain.

    Through our imagination we experience more fully the world both around us and within us. Imagination plays a key role in creativity and innovation.Until the seventeenth century, the human imagination was celebrated. Since then, with the emergence of science as the dominant worldview, imagination has been marginalised -- depicted as a way of escaping reality, rather than knowing it more profoundly -- and its significance to our humanity has been downplayed.Yet as we move further into the strange new dimensions of the twenty-first century, the need to regain this lost knowledge seems more necessary than ever before.This insightful and inspiring book argues that, for the sake of our future in the world, we must reclaim the ability to imagine and redress the balance of influence between imagination and science.Through the work of Owen Barfield, Goethe, Henry Corbin, Kathleen Raine, and others, and ranging from the teachings of ancient mystics to the latest developments in neuroscience, The Lost Knowledge of the Imagination draws us back to a philosophy and tradition that restores imagination to its rightful place, essential to our knowing reality to the full, and to our very humanity itself.

    Lasch’s identification of narcissism as not only an individual ailment but also a burgeoning social epidemic was groundbreaking. His diagnosis of American culture is even more relevant today, predicting the limitless expansion of the anxious and grasping narcissistic self into every part of American life.The Culture of Narcissism offers an astute and urgent analysis of what we need to know in these troubled times.