Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to widen to include intelligent machines. From the Trade Paperback edition.
This book is a critique of Artificial Intelligence (AI) from the perspective of cognitive science – it seeks to examine what we have learned about human cognition from AI successes and failures. The book's goal is to separate those 'AI dreams' that either have been or could be realized from those that are constructed through discourse and are unrealizable. AI research has advanced many areas that are intellectually compelling and holds great promise for advances in science, engineering, and practical systems. After the 1980s, however, the field has often struggled to deliver widely on these promises. This book breaks new ground by analyzing how some of the driving dreams of people practicing AI research become valued contributions, while others devolve into unrealized and unrealizable projects.
What is Artificial Intelligence (AI)? What can it do and how is it created? In this highly accessible guide to the subject, Richard Urwin bases his assessment of AI on the definition of AI as a tool that is 'constructed to aid or substitute for human thought'. He explains how AI came about, the importance of the development of the computer and then examines how AI has developed over the years through the construction of computer programs and how the language used to construct these programs has become more and more sophisticated, thus allowing AI to become better and better. Along the way, you will discover numerous intriguing examples of how scientists have progressed the development of AI, learn about Fuzzy Logic and the ups and downs of computer programming, as well as finding out how research into brain function is continually influencing the field of AI. By turns fascinating and scary, Artificial Intelligence will take the reader on an amazing journey that covers everything from the habits of ants to the world of the stock market.
A team of computer scientists, working at the engineering school of the University of California at Berkeley to create Artificial Intelligence, documents their struggle to reach an impossible goal and the controversies over their work
Is it possible to construct an artificial person? Researchers in the field of artificial intelligence have for decades been developing computer programs that emulate human intelligence. This book goes beyond intelligence and describes how close we are to recreating many of the other capacities that make us human. These abilities include learning, creativity, consciousness, and emotion. The attempt to understand and engineer these abilities constitutes the new interdisciplinary field of artificial psychology, which is characterized by contributions from philosophy, cognitive psychology, neuroscience, computer science, and robotics. This work is intended for use as a main or supplementary introductory textbook for a course in cognitive psychology, cognitive science, artificial intelligence, or the philosophy of mind. It examines human abilities as operating requirements that an artificial person must have and analyzes them from a multidisciplinary approach. The book is comprehensive in scope, covering traditional topics like perception, memory, and problem solving. However, it also describes recent advances in the study of free will, ethical behavior, affective architectures, social robots, and hybrid human-machine societies.
The Creation of a Conscious Machine surveys the millennial quest to create an intelligent artifact, concludes that consciousness is the key to achieve this goal and proposes an understanding of Artificial Consciousness that is suitable for machine implementation. The text describes how achieving the goal of Artificial Intelligence will yield extraordinary intellectual benefits and deep insights into the human condition. It examines past attempts, from ancient times until today, to define intelligence and implement it, drawing useful lessons from each. In particular, the Turing Test, the current and most influential measure of Artificial Intelligence, is the subject of an in depth analysis. Ultimately, the author also rejects the Turing Test, and the concept of a test itself, as an inadequate measure of machine intelligence. Basing himself on this analysis, the author concludes that humans will only consider a machine to be truly intelligent if they also perceive it to be conscious. To realize the quest of Artificial Intelligence, it is thus necessary to implement consciousness. The author concludes by proposing a definition of Artificial Consciousness expressed as specification objectives that are suitable for software implementation. This makes it possible to build, today, the first generation of synthetic conscious beings.
Dr. Kevin Warwick warns us that robots and machine intelligence pose an enormous threat to mankind. He is deeply critical of techniques used to measure human intelligence, in particular IQ tests. He believes these are both flawed and outdated. He has developed an entirely new theory, which proposes a universal view of intelligence, within which human, animal and even artificial intelligence are united for the first time.