"Artificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide whom to release on bail, welfare agencies to decide which children are at risk of abuse, and Facebook and Google to rank content and distribute ads. In these spheres, and many others, powerful prediction tools are changing how decisions are made, narrowing opportunities for the exercise of judgment, empathy, and creativity. In Algorithms for the People, Josh Simons flips the narrative about how we govern these technologies. Instead of examining the impact of technology on democracy, he explores how to put democracy at the heart of AI governance. Drawing on his experience as a research fellow at Harvard University, a visiting research scientist on Facebook’s Responsible AI team, and a policy advisor to the UK’s Labour Party, Simons gets under the hood of predictive technologies, offering an accessible account of how they work, why they matter, and how to regulate the institutions that build and use them. He argues that prediction is political: human choices about how to design and use predictive tools shape their effects. Approaching predictive technologies through the lens of political theory casts new light on how democracies should govern political choices made outside the sphere of representative politics. Showing the connection between technology regulation and democratic reform, Simons argues that we must go beyond conventional theorizing of AI ethics to wrestle with fundamental moral and political questions about how the governance of technology can support the flourishing of democracy." -- Publisher's description.

Winner, 1990, category of Computer Science, Professional/Scholarly Publishing Annual Awards Competition presented by the Association of American Publishers, Inc. In The Age of Intelligent Machines, inventor and visionary computer scientist Raymond Kurzweil probes the past, present, and future of artificial intelligence, from its earliest philosophical and mathematical roots to tantalizing glimpses of 21st-century machines with superior intelligence and truly prodigious speed and memory. Generously illustrated and easily accessible to the nonspecialist, this book provides the background needed for a full understanding of the enormous scientific potential represented by intelligent machines as well as their equally profound philosophic, economic, and social implications. Running alongside Kurzweil's historical and scientific narrative are 23 articles examining contemporary issues in artificial intelligence. Raymond Kurzweil is the founder and chairman of Kurzweil Applied Intelligence and the Kurzweil Reading Machine division of Xerox. He was the principal developer of the first print-to-speech reading machine for the blind and other significant advances in artificial intelligence technology. Articles by: Charles Ames. Margaret A. Boden. Harold Cohen. Daniel C. Dennett. Edward A. Feigenbaum. K. Fuchi. George Gilder. Douglas R. Hofstadter. Michael Lebowitz. Margaret Litven. Blaine Mathieu. Marvin Minsky. Allen Newell. Brian W. Oakley. Seymour Papert. Jeff Pepper. Roger Schank and Christopher Owens. Sherry Turkle. Mitchell Waldrop.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

"The story begins with Leibniz in the 17th century and then focuses on Boole, Frege, Cantor Hilbert, and Gödel, before turning to Turing. Turing's analysis of algorithmic processes led to a single, all-purpose machine that could be programmed to carry out such processes--the computer. Davis describes how this incredible group, with lives as extraordinary as their accomplishments, grappled with logical reasoning and its mechanization. By investigating their achievements and failures, he shows how these pioneers paved the way for modern computing. Bringing the material up to date, this revised edition features a much expanded version of the discussion of artificial intelligence and current technology, and the way it confirms the significance of Turing's pencil-and-paper universal machine with infinite memory and unlimited time for computations. More is written about the events at Princeton involving Alonzo Church (who was the doctoral advisor of Davis as well as Turing), Stephen Kleene, and Kurt Gödel that led Turing to come there. Finally, further exploration of the relationship between Kronecker and Cantor can also be found" -- From the publisher.

Now in paperback, the eighth book of the bestselling Rivers of London series returns to the adventures of Peter Grant, detective and apprentice wizard, as he solves magical crimes in the city of London. Peter Grant is facing fatherhood, and an uncertain future, with equal amounts of panic and enthusiasm. Rather than sit around, he takes a job with émigré Silicon Valley tech genius Terrence Skinner's brand new London start up—the Serious Cybernetics Company. Drawn into the orbit of Old Street's famous 'silicon roundabout', Peter must learn how to blend in with people who are both civilians and geekier than he is. Compared to his last job, Peter thinks it should be a doddle. But magic is not finished with Mama Grant's favourite son. Because Terrence Skinner has a secret hidden in the bowels of the SCC. A technology that stretches back to Ada Lovelace and Charles Babbage, and forward to the future of artificial intelligence. A secret that is just as magical as it technological—and just as dangerous.

Textbook offers an accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. For graduate-level courses in AI, operations research, and applied probability. Annotation copyright Book News, Inc. Portland, Or.

This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields. Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required. 0201157675B07092001

An authority on artificial intelligence introduces a theory that explores the workings of the human mind and the mysteries of thought

Amy Webb is a noted futurist who combines curiosity, skepticism, colorful storytelling, and deeply reported, real-world analysis in this essential book for understanding the future. The Signals are Talking reveals a systematic way of evaluating new ideas bubbling up on the horizon--distinguishing what is a real trend from the merely trendy. This book helps us hear which signals are talking sense, and which are simply nonsense, so that we might know today what developments--especially those seemingly random ideas at the fringe as they converge and begin to move toward the mainstream--have long-term consequence for tomorrow. With the methodology developed here, we learn how to think like a futurist and answer vitally important questions: How will a technology--like artificial intelligence, machine learning, self-driving cars, biohacking, bots, and the Internet of Things--affect us personally? How will it impact our businesses and workplaces? How will it eventually change the way we live, work, play, and think--and how should we prepare for it now?--Adapted from dust jacket.

A Study of Thinking is a pioneering account of how human beings achieve a measure of rationality in spite of the constraints imposed by bias, limited attention and memory, and the risks of error imposed by pressures of time and ignorance. First published in 1956 and hailed at its appearance as a groundbreaking study, it is still read three decades later as a major contribution to our understanding of the mind. In their insightful new introduction, the authors relate the book to the cognitive revolution and its handmaiden, artificial intelligence. The central theme of the work is that the scientific study of human thinking must concentrate upon meaning and its achievement rather than upon the behaviorists' stimuli and responses and the presumed connections between them. The book's point of departure is how human beings group the world of particulars into ordered classes and categories-concepts-in order to impose a coherent and manageable order upon that world. But rather than relying principally on philosophical speculation to make its point, A Study of Thinking reports dozens of experiments to elucidate the strategies that people use in penetrating to the deep structure of the information they encounter. This seminal study was a major event in the cognitive revolution of the 1950s. Reviewing it at the time, J. Robert Oppenheimer said it "has in many ways the flavor of conviction which makes it point to the future."

In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. By examining these different forms of mind activity, Minsky says, we can explain why our thought sometimes takes the form of carefully reasoned analysis and at other times turns to emotion. He shows how our minds progress from simple, instinctive kinds of thought to more complex forms, such as consciousness or self-awareness. And he argues that because we tend to see our thinking as fragmented, we fail to appreciate what powerful thinkers we really are. Indeed, says Minsky, if thinking can be understood as the step-by-step process that it is, then we can build machines -- artificial intelligences -- that not only can assist with our thinking by thinking as we do but have the potential to be as conscious a...(Quelle: buchhandel.de)

Understanding Computers and Cognition presents an important and controversial new approach to understanding what computers do and how their functioning is related to human language, thought, and action. While it is a book about computers, Understanding Computers and Cognition goes beyond the specific issues of what computers can or can't do. It is a broad-ranging discussion exploring the background of understanding in which the discourse about computers and technology takes place. Understanding Computers and Cognition is written for a wide audience, not just those professionals involved in computer design or artificial intelligence. It represents an important contribution to the ongoing discussion about what it means to be a machine, and what it means to be human. Book jacket.

"Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human"--

'One of the most important worksof the twentieth century' The Times.Shadows of the Mind is a profound exploration of what modern physics has to tell us about the human mind. [Bokinfo]

Please Note That The Following Individual Books As Per Original ISBN and Cover Image In this Listing shall be Dispatched Collectively: Our Mathematical Universe & Life 3.0 Being Human in the Age of Artificial Intelligence By Max Tegmark 2 Books Collection Set: Our Mathematical Universe: In Our Mathematical Universe, Max Tegmark, one of the most original physicists at work today, leads us on an astonishing journey to explore the mysteries uncovered by cosmology and to discover the nature of reality.Part-history of the cosmos, part-intellectual adventure, Our Mathematical Universe travels from the Big Bang to the distant future via parallel worlds, across every possible scale - from the sub-atomic to the intergalactic - showing how mathematics provides the answers to our questions about the world. Where do we come from? What makes the universe the way it is? In essence, why are we here? With dazzling clarity, Max Tegmark ponders these deep mysteries and allows us to grasp the most cutting-edge and mind-boggling theories of physics. Life 3.0 Being Human in the Age of Artificial Intelligence: AI is the future - but what will that future look like? Will superhuman intelligence be our slave, or become our god?Taking us to the heart of the latest thinking about AI, Max Tegmark, the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to explore the next phase of our existence.How can we grow our prosperity through automation, without leaving people lacking income or purpose?

These essays tackle some of the central issues in visual cognition, presentingexperimental techniques from cognitive psychology, new ways of modeling cognitive processes oncomputers from artificial intelligence, and new ways of studying brain organization fromneuropsychology, to address such questions as: How do we recognize objects in front of us? How do wereason about objects when they are absent and only in memory? How do we conceptualize the threedimensions of space? Do different people do these things in different ways? And where are theseabilities located in the brain?While this research, which appeared as a special issue of the journalCognition, is at the cutting edge of cognitive science, it does not assume a highly technicalbackground on the part of readers. The book begins with a tutorial introduction by the editor,making it suitable for specialists and nonspecialists alike.Steven Pinker is Associate Professor,Department of Psychology and Center for Cognitive Science at MIT.

Using examples from a wide variety of conflicts, Lawrence Freedman shows that successful military command depends on the ability not only to use armed forces effectively but also to understand the political context in which they are operating. Command in war is about forging effective strategies and implementing them, making sure that orders are appropriate, well-communicated, and then obeyed. But it is also an intensely political process. This is largely because how wars are fought depends to a large extent on how their aims are set. It is also because commanders in one realm must possess the ability to work with other command structures, including those of other branches of the armed forces and allies. In Command, Lawrence Freedman explores the importance of political as well as operational considerations in command with a series of eleven vivid case studies, all taken from the period after 1945. Over this period, the risks of nuclear escalation led to a shift away from great power confrontations and towards civil wars, and advances in communication technologies made it easier for higher-level commanders to direct their subordinates. Freedman covers defeats as well as victories. Pakistani generals tried to avoid surrender as they were losing the eastern part of their country to India in 1971. Iraq's Saddam Hussein turned his defeats into triumphant narratives of victory. Osama bin Laden escaped the Americans in Afghanistan in 2001. The UK struggled as a junior partner to the US in Iraq after 2003. We come across insubordinate generals, such as Israel's Arik Sharon, and those in the French army in Algeria, so frustrated with their political leadership that they twice tried to change it. At the other end of the scale, Che Guevara in Congo in 1966 and Igor Girkin in Ukraine in 2014 both tried to spark local wars to suit their grandiose objectives. Freedman ends the book with a meditation on the future of command in a world that is becoming increasingly reliant on technologies like artificial intelligence. A wide-ranging and insightful history of the changing nature of command in the postwar era, this will stand as a definitive account of a foundational concept in both military affairs and politics.

Reasoning about knowledge—particularly the knowledge of agents who reason about the world and each other's knowledge—was once the exclusive province of philosophers and puzzle solvers. More recently, this type of reasoning has been shown to play a key role in a surprising number of contexts, from understanding conversations to the analysis of distributed computer algorithms. Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory. It brings eight years of work by the authors into a cohesive framework for understanding and analyzing reasoning about knowledge that is intuitive, mathematically well founded, useful in practice, and widely applicable. The book is almost completely self-contained and should be accessible to readers in a variety of disciplines, including computer science, artificial intelligence, linguistics, philosophy, cognitive science, and game theory. Each chapter includes exercises and bibliographic notes.

"New technologies are offering companies, politicians, and others unprecedented opportunity to manipulate us. Sometimes we are given the illusion of power - of freedom - through choice, yet the game is rigged, pushing us in specific directions that lead to less wealth, worse health, and weaker democracy. In, Manipulation, nudge theory pioneer and New York Times bestselling author, Cass Sunstein, offers a new definition of manipulation for the digital age, explains why it is wrong; and shows what we can do about it. He reveals how manipulation compromises freedom and personal agency, while threatening to reduce our well-being; he explains the difference between manipulation and unobjectionable forms of influence, including 'nudges'; and he lifts the lid on online manipulation and manipulation by artificial intelligence, algorithms, and generative AI, as well as threats posed by deepfakes, social media, and 'dark patterns,' which can trick people into giving up time and money. Drawing on decades of groundbreaking research in behavioral science, this landmark book outlines steps we can take to counteract manipulation in our daily lives and offers guidance to protect consumers, investors, and workers." --

Aliens are big in America. Whether they've arrived via rocket, flying saucer, or plain old teleportation, they've been invading, infiltrating, or inspiring us for decades, and they've fascinated moviegoers and television watchers for more than fifty years. About half of us believe that aliens really exist, and millions are convinced they've visited Earth. For twenty-five years, SETI has been looking for the proof, and as the program's senior astronomer, Seth Shostak explains in this engrossing book, it's entirely possible that before long conclusive evidence will be found. His informative, entertaining report offers an insider's view of what we might realistically expect to discover light-years away among the stars. Neither humanoids nor monsters, says Shostak; in fact, biological intelligence is probably just a precursor to machine beings, enormously advanced artificial sentients whose capabilities and accomplishments may have developed over billions of years and far exceed our own. As he explores what, if anything, they would tell us and what their existence would portend for humankind and the cosmos, he introduces a colorful cast of characters and provides a vivid, state-of-the-art account of the past, present, and future of our search for extraterrestrial intelligence.