Book picks similar to
The Robots Dilemma Revisited: The Frame Problem In Artificial Intelligence (Theoretical Issues In Cognitive Science) by Zenon W. Pylyshyn
philosophy
machine-learning
philosophy-of-mind
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The Technology Trap: Capital, Labor, and Power in the Age of Automation
Carl Benedikt Frey - 2019
As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends, Frey documents, broadly mirror those in our current age of automation, which began with the Computer Revolution.Just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. But Frey argues that this depends on how the short term is managed. In the nineteenth century, workers violently expressed their concerns over machines taking their jobs. The Luddite uprisings joined a long wave of machinery riots that swept across Europe and China. Today’s despairing middle class has not resorted to physical force, but their frustration has led to rising populism and the increasing fragmentation of society. As middle-class jobs continue to come under pressure, there’s no assurance that positive attitudes to technology will persist.The Industrial Revolution was a defining moment in history, but few grasped its enormous consequences at the time. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present.
The Genius Within: Discovering the Intelligence of Every Living Thing
Frank T. Vertosick Jr. - 2002
A gifted writer, Vertosick shows us that intelligence - the ability to react to the outside world, to change behaviour, to survive - can be found wherever life exists. He demonstrates the keen intelligence of our immune system, how lowly bacteria mutate and outwit antibiotics, and how canny cancer cells elude our natural defences.
Stoicism: Ultimate Handbook To Stoic Philosophy, Wisdom And Way Of Life (Stoicism 101, Stoicism Mastery, Modern Day Stoic)
Thomas Beckett - 2015
Is stoicism right for you? What can you learn from these ancient masters? Stoicism: Ultimate Handbook to Stoic Philosophy, Wisdom and Way of Life describes the core philosophies of the stoics: • Control What You Can • Emotions and Outcomes Exist Within • Honesty is a Virtue • Hope Never Dies • Knowledge Will Save You • Mindfulness is Important • Seek Morals, Not Awards • Stop On Time • Every Day Is A New Day You'll also learn the 4 Cardinal Virtues Of Stoicism: • Wisdom • Courage • Justice • Temperance What can Stoicism do for you in your everyday life? Stoicism: Ultimate Handbook to Stoic Philosophy, Wisdom and Way of Life also describes how Stoicism can help you in today's world. This ancient tradition can help you through tough times by teaching you to build your mental and physical strength and be a great leader. Also, you'll find that most religions agree with the philosophies and practices of Stoicism. Practicing Stoicism can help you cope with many negative emotions: • Stress • Judgment • Anger • Worry • Incompetence • Disappointment
Download Stoicism: Ultimate Handbook to Stoic Philosophy, Wisdom and Way of Life NOW to find out about this amazing tradition that has stood the test of time.
You'll be so glad you did!
Machine Learning: An Algorithmic Perspective
Stephen Marsland - 2009
The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python. The author uses data from a variety of applications to demonstrate the methods and includes practical problems for students to solve.Highlights a Range of Disciplines and ApplicationsDrawing from computer science, statistics, mathematics, and engineering, the multidisciplinary nature of machine learning is underscored by its applicability to areas ranging from finance to biology and medicine to physics and chemistry. Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge."
Superminds: The Surprising Power of People and Computers Thinking Together
Thomas W. Malone - 2018
If you're like most people, you probably believe that humans are the most intelligent animals on our planet. But there's another kind of entity that can be far smarter: groups of people. In this groundbreaking book, Thomas Malone, the founding director of the MIT Center for Collective Intelligence, shows how groups of people working together in superminds -- like hierarchies, markets, democracies, and communities -- have been responsible for almost all human achievements in business, government, science, and beyond. And these collectively intelligent human groups are about to get much smarter. Using dozens of striking examples and case studies, Malone shows how computers can help create more intelligent superminds simply by connecting humans to one another in a variety of rich, new ways. And although it will probably happen more gradually than many people expect, artificially intelligent computers will amplify the power of these superminds by doing increasingly complex kinds of thinking. Together, these changes will have far-reaching implications for everything from the way we buy groceries and plan business strategies to how we respond to climate change, and even for democracy itself. By understanding how these collectively intelligent groups work, we can learn how to harness their genius to achieve our human goals. Drawing on cutting-edge science and insights from a remarkable range of disciplines, Superminds articulates a bold -- and utterly fascinating -- picture of the future that will change the ways you work and live, both with other people and with computers.
Robot: Mere Machine to Transcendent Mind
Hans Moravec - 1998
But even though Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds. And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into ex humans, as they upload themselves into advanced computers.This provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine.
Deep Learning
Ian Goodfellow - 2016
Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Moving for Moksha
Alok Mishra - 2020
In this collection, you will find images and poems that relate to life, love, loss, gain, realisation and the final thing called Moksha. The poems may sound philosophical, intellectual and emotional from time to time. You will also find a surprise at the end of this wonderful poetry collection if you read everything carefully. And, like the previous poetry collection by Alok Mishra, this book will also not take more than 15 minutes from your daily routine. However, you may want to read the book at least twice or maybe thrice to understand what do the poems mean. Alok has devised a style of his own to communicate his thoughts to the readers of Indian English poetry. A 4-3-6 style has perfectly settled with this collection having 14 wonderful poems. Here are some reviews for Moving for Moksha:The collection of poems takes us on a journey to ponder the truth and fallacies of life that come our way. The poems are mostly mystic in nature, having more than what it seems to be... you will certainly love it if you have a taste for English poetry.by: Amit Mishra (founder of The Indian Authors & Indian Book Lovers)...beauty, truth, eternity.... a very close observation of life, these poems sneak into nothing but the philosophy of life that people confront during life-span.by: Ravi Kumar, Research Scholar with expertise in Indian English Literature, a writer for many online literary platformsThe poems reflect disillusion, rejection, realisation and answer to the final call – Moksha, as called in Indian philosophy. The innovative form with a 4-3-6 pattern looks very apt for the emotional and intellectual and also cryptic nature of the poems in this collection.The Last Critic
The Metamorphosis of Prime Intellect
Roger Williams - 2006
Taking the Three Laws of Robotics literally, Prime Intellect makes every human immortal and provides instantly for every stated human desire. Caroline finds no meaning in this life of purposeless ease, and forgets her emptiness only in moments of violent and profane exhibitionism. At turns shocking and humorous, Prime Intellect looks unflinchingly at extremes of human behavior that might emerge when all limits are removed.
Python Machine Learning
Sebastian Raschka - 2015
We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world
Wired for War: The Robotics Revolution and Conflict in the Twenty-First Century
P.W. Singer - 2009
More then seven thousand robotic systems are now in Iraq. Pilots in Nevada are remotely killing terrorists in Afghanistan. Scientists are debating just how smart - and how lethal - to make their current robotic prototypes. And many of the most renowned science fiction authors are secretly consulting for the Pentagon on the next generation.Blending historic evidence with interviews from the field, Singer vividly shows that as these technologies multiply, they will have profound effects on the front lines as well as on the politics back home. Moving humans off the battlefield makes wars easier to start, but more complex to fight. Replacing men with machines may save some lives, but will lower the morale and psychological barriers to killing. The "warrior ethos", which has long defined soldiers' identity, will erode, as will the laws of war that have governed military conflict for generations.While his analysis is unnerving, there's an irresistible gee-whiz quality to the innovations Singer uncovers. Wired for War travels from Iraq to see these robots in combat to the latter-day "skunk works" in America's suburbia, where tomorrow's technologies of war are quietly being designed. In Singer's hands, the future of war is as fascinating as it is frightening.
Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World
Cade Metz - 2021
Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling.--Walter Isaacson, author of The Code Breaker
Recipient of starred reviews in both Kirkus and Library JournalTHE UNTOLD TECH STORY OF OUR TIMEWhat does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:How far will we let it go?
Philosophy of Mind: A Beginner's Guide
Ian Ravenscroft - 2005
Topics discussed include dualism, behaviorism, the identity theory, functionalism, the computationaltheory of mind, connectionism, physicalism, mental causation, and consciousness. The text is enhanced by chapter summaries, a glossary, suggestions for further reading, and self-assessment questions.
Know Thyself: The Science of Self-Awareness
Stephen M. Fleming - 2021
The information is stuck on the tip of your tongue. It's an experience so frustrating that it seems like it must be a brain malfunction. In fact, it's actually a hallmark of our greatest power: self-awareness. As cognitive neuroscientist Stephen M. Fleming shows in Know Thyself,self-awareness shapes our intelligence, memory, and conscious experience. It's integral to how we teach and learn. We use it every time we weigh difficult questions, such as assessing how we'd respond in a crisis. Drawing on psychology and neuroscience, Fleming provides deep insight into how self-awareness works, and how we can enhance our ability to know our strengths and weaknesses. In the end, this book isn'tjust about psychology: it's about the science of human excellence.
Waking, Dreaming, Being: Self and Consciousness in Neuroscience, Meditation, and Philosophy
Evan Thompson - 2014
When we are awake we identify with our body, but if we let our mind wander or daydream, we project a mentally imagined self into the remembered past or anticipated future. As we fall asleep, the impression of being a bounded self distinct from the world dissolves, but the self reappears in the dream state. If we have a lucid dream, we no longer identify only with the self within the dream. Our sense of self now includes our dreaming self, the "I" as dreamer. Finally, as we meditate--either in the waking state or in a lucid dream--we can observe whatever images or thoughts arise and how we tend to identify with them as "me." We can also experience sheer awareness itself, distinct from the changing contents that make up our image of the self.Contemplative traditions say that we can learn to let go of the self, so that when we die we can witness its dissolution with equanimity. Thompson weaves together neuroscience, philosophy, and personal narrative to depict these transformations, adding uncommon depth to life's profound questions. Contemplative experience comes to illuminate scientific findings, and scientific evidence enriches the vast knowledge acquired by contemplatives.