The Knowledge Machine: How Irrationality Created Modern Science

The Knowledge Machine: How Irrationality Created Modern Science

Author: Michael Strevens

Publisher: Liveright Publishing

Published: 2020-10-13

Total Pages: 368

ISBN-13: 1631491385

DOWNLOAD EBOOK

“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.


The Knowledge Machine

The Knowledge Machine

Author: Michael Strevens

Publisher: Penguin Group

Published: 2022-02-03

Total Pages: 0

ISBN-13: 9780141981260

DOWNLOAD EBOOK

A groundbreaking and timely analysis of how science works and how we can preserve its power to grow our knowledge Over the last three centuries, huge leaps in our scientific understanding and, as a result, in our technology have completely transformed our way of life and our vision of the universe. Why is science so powerful? And why did we take so long to invent it - two thousand years after the invention of philosophy, mathematics and other disciplines that are the mark of civilization? The Knowledge Machine gives a radical answer, exploring how science calls on its practitioners to do something not supremely rational but rather apparently irrational: strip away all previous knowledge - such as theological or metaphysical beliefs - in order to channel unprecedented energy into observation and experiment. Rich with tales of discovery and misadventure, like Yuval Noah Harari's Sapiens, Strevens's stimulating and highly original investigation reframes what we thought we knew about the origins of the modern world.


The Knowledge Machine

The Knowledge Machine

Author: Michael Strevens

Publisher: Penguin UK

Published: 2020-10-01

Total Pages: 368

ISBN-13: 0241205794

DOWNLOAD EBOOK

Rich with tales of discovery from Galileo to general relativity, a stimulating and timely analysis of how science works and why we need it. 'The best introduction to the scientific enterprise that I know. A wonderful and important book' David Wootton, author of The Invention of Science It is only in the last three centuries that the formidable knowledge-making machine we call modern science has transformed our way of life and our vision of the universe - two thousand years after the invention of law, philosophy, drama and mathematics. Why did we take so long to invent science? And how has it proved to be so powerful? The Knowledge Machine gives a radical answer, exploring how science calls on its practitioners to do something apparently irrational: strip away all previous knowledge - such as theological, metaphysical or political beliefs - and channel unprecedented energy into observation and experiment. In times of climate extremes, novel diseases and rapidly advancing technology, Strevens contends that we need more than ever to grasp the inner workings of our knowledge machine. 'A stylish and accessible investigation into the nature of the scientific method' Nigel Warburton, Philosophy Bites 'This elegant book takes us to the heart of the scientific enterprise' David Papineau, King's College London, author of Knowing the Score 'This book is a delight to read, richly illustrated with wonderfully told incidents from the history of natural science' Nancy Cartwright, University of California San Diego


Making AI Intelligible

Making AI Intelligible

Author: Herman Cappelen

Publisher: Oxford University Press

Published: 2021

Total Pages: 184

ISBN-13: 0192894722

DOWNLOAD EBOOK

Can humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.


The Exquisite Machine

The Exquisite Machine

Author: Sian E. Harding

Publisher: MIT Press

Published: 2024-02-06

Total Pages: 234

ISBN-13: 0262548410

DOWNLOAD EBOOK

How science is opening up the mysteries of the heart, revealing the poetry in motion within the machine. Your heart is a miracle in motion, a marvel of construction unsurpassed by any human-made creation. It beats 100,000 times every day—if you were to live to 100, that would be more than 3 billion beats across your lifespan. Despite decades of effort in labs all over the world, we have not yet been able to replicate the heart’s perfect engineering. But, as Sian Harding shows us in The Exquisite Machine, new scientific developments are opening up the mysteries of the heart. And this explosion of new science—ultrafast imaging, gene editing, stem cells, artificial intelligence, and advanced sub-light microscopy—has crucial, real-world consequences for health and well-being. Harding—a world leader in cardiac research—explores the relation between the emotions and heart function, reporting that the heart not only responds to our emotions, it creates them as well. The condition known as Broken Heart Syndrome, for example, is a real disorder than can follow bereavement or stress. The Exquisite Machine describes the evolutionary forces that have shaped the heart’s response to damage, the astonishing rejuvenating power of stem cells, how we can avoid heart disease, and why it can be so hard to repair a damaged heart. It tells the stories of patients who have had the devastating experiences of a heart attack, chaotic heart rhythms, or stress-induced acute heart failure. And it describes how cutting-edge technologies are enabling experiments and clinical trials that will lead us to new solutions to the worldwide scourge of heart disease.


Thing Knowledge

Thing Knowledge

Author: Davis Baird

Publisher: Univ of California Press

Published: 2004-02-10

Total Pages: 297

ISBN-13: 0520928202

DOWNLOAD EBOOK

Western philosophers have traditionally concentrated on theory as the means for expressing knowledge about a variety of phenomena. This absorbing book challenges this fundamental notion by showing how objects themselves, specifically scientific instruments, can express knowledge. As he considers numerous intriguing examples, Davis Baird gives us the tools to "read" the material products of science and technology and to understand their place in culture. Making a provocative and original challenge to our conception of knowledge itself, Thing Knowledge demands that we take a new look at theories of science and technology, knowledge, progress, and change. Baird considers a wide range of instruments, including Faraday's first electric motor, eighteenth-century mechanical models of the solar system, the cyclotron, various instruments developed by analytical chemists between 1930 and 1960, spectrometers, and more.


Introduction to Machine Learning

Introduction to Machine Learning

Author: Ethem Alpaydin

Publisher: MIT Press

Published: 2014-08-22

Total Pages: 639

ISBN-13: 0262028182

DOWNLOAD EBOOK

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.


Welcome to the Machine

Welcome to the Machine

Author: Derrick Jensen

Publisher: Chelsea Green Publishing

Published: 2004

Total Pages: 298

ISBN-13: 1931498520

DOWNLOAD EBOOK

Jensen and Draffan look at the way machine readable devices that track our identities and purchases have infiltrated our lives and have come to define our culture.


Machine of Death

Machine of Death

Author: Ryan North

Publisher: Machines of Death LLC

Published: 2010

Total Pages: 468

ISBN-13: 0982167121

DOWNLOAD EBOOK

MACHINE OF DEATH tells thirty-four different stories about people who know how they will die. Prepare to have your tears jerked, your spine tingled, your funny bone tickled, your mind blown, your pulse quickened, or your heart warmed. Or better yet, simply prepare to be surprised. Because even when people do have perfect knowledge of the future, there's no telling exactly how things will turn out.


Depth

Depth

Author: Michael Strevens

Publisher: Harvard University Press

Published: 2011-09-30

Total Pages: 537

ISBN-13: 0674062574

DOWNLOAD EBOOK

What does it mean for scientists to truly understand, rather than to merely describe, how the world works? Michael Strevens proposes a novel theory of scientific explanation and understanding that overhauls and augments the familiar causal approach to explanation. What is replaced is the test for explanatorily relevant causal information: Strevens discards the usual criterion of counterfactual dependence in favor of a criterion that turns on a process of progressive abstraction away from a fully detailed, physical causal story. The augmentations include the introduction of a new, non-causal explanatory relevance relation—entanglement—and an independent theory of the role of black-boxing and functional specification in explanation. The abstraction-centered notion of difference-making leads to a rich causal treatment of many aspects of explanation that have been either ignored or handled inadequately by earlier causal approaches, including the explanation of laws and other regularities, with particular attention to the explanation of physically contingent high-level laws, idealization in explanation, and probabilistic explanation in deterministic systems, as in statistical physics, evolutionary biology, and medicine. The result is an account of explanation that has especially significant consequences for the higher-level sciences: biology, psychology, economics, and other social sciences.