Author: Marvin Minsky
Publisher: Simon and Schuster
Release Date: 2007-11-13
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 as we are. Eloquently written, The Emotion Machine is an intriguing look into a future where more powerful artificial intelligences await.
Author: Harry Harrison
Publisher: Tor Books
Release Date: 2012-07-03
Turing Option is written by Harry Harrison who is also the author of Deathworld, Make Room! Make Room! (filmed as Soylent Green), the popular Stainless Steel Rat books, and many other famous works of SF. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.
Author: Erik T. Mueller
Publisher: Morgan Kaufmann
Release Date: 2014-11-11
To endow computers with common sense is one of the major long-term goals of artificial intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic. Commonsense Reasoning: An Event Calculus Based Approach is a detailed, high-level reference on logic-based commonsense reasoning. It uses the event calculus, a highly powerful and usable tool for commonsense reasoning, which Erik Mueller demonstrates as the most effective tool for the broadest range of applications. He provides an up-to-date work promoting the use of the event calculus for commonsense reasoning, and bringing into one place information scattered across many books and papers. Mueller shares the knowledge gained in using the event calculus and extends the literature with detailed event calculus solutions that span many areas of the commonsense world. The Second Edition features new chapters on commonsense reasoning using unstructured information including the Watson system, commonsense reasoning using answer set programming, and techniques for acquisition of commonsense knowledge including crowdsourcing. Drawing upon years of practical experience and using numerous examples and illustrative applications Erik Mueller shows you the keys to mastering commonsense reasoning. You’ll be able to: Understand techniques for automated commonsense reasoning Incorporate commonsense reasoning into software solutions Acquire a broad understanding of the field of commonsense reasoning. Gain comprehensive knowledge of the human capacity for commonsense reasoning
Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou In 1969, ten years after the discovery of the perceptron -- which showed that a machine could be taught to perform certain tasks using examples -- Marvin Minsky and Seymour Papert published Perceptrons, their analysis of the computational capabilities of perceptrons for specific tasks. As Léon Bottou writes in his foreword to this edition, "Their rigorous work and brilliant technique does not make the perceptron look very good." Perhaps as a result, research turned away from the perceptron. Then the pendulum swung back, and machine learning became the fastest-growing field in computer science. Minsky and Papert's insistence on its theoretical foundations is newly relevant. Perceptrons -- the first systematic study of parallelism in computation -- marked a historic turn in artificial intelligence, returning to the idea that intelligence might emerge from the activity of networks of neuron-like entities. Minsky and Papert provided mathematical analysis that showed the limitations of a class of computing machines that could be considered as models of the brain. Minsky and Papert added a new chapter in 1987 in which they discuss the state of parallel computers, and note a central theoretical challenge: reaching a deeper understanding of how "objects" or "agents" with individuality can emerge in a network. Progress in this area would link connectionism with what the authors have called "society theories of mind."
Author: José Hernández-Orallo
Publisher: Cambridge University Press
Release Date: 2017-01-11
Are psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various animal cognition tests the best alternatives? In this fascinating and provocative book, José Hernández-Orallo formulates major scientific questions, integrates the most significant research developments, and offers a vision of the universal evaluation of cognition. By replacing the dominant anthropocentric stance with a universal perspective where living organisms are considered as a special case, long-standing questions in the evaluation of behavior can be addressed in a wider landscape. Can we derive task difficulty intrinsically? Is a universal g factor - a common general component for all abilities - theoretically possible? Using algorithmic information theory as a foundation, the book elaborates on the evaluation of perceptual, developmental, social, verbal and collective features and critically analyzes what the future of intelligence might look like.
Author: Stan Franklin
Publisher: MIT Press
Release Date: 1997
Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial neural networks, artificial life, and robotics that is producing a new paradigm of mind. Along the way, Franklin makes the case for a perspective that rejects a rigid distinction between mind and non-mind in favor of a continuum from less to more mind.
Author: Richard Yonck
Publisher: Skyhorse Publishing, Inc.
Release Date: 2017-03-07
For Readers of Ray Kurzweil and Michio Kaku, a New Look at the Cutting Edge of Artificial Intelligence Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.
Author: Brenton Malin
Publisher: NYU Press
Release Date: 2014-01-01
New technologies, whether text message or telegraph, inevitably raise questions about emotion. New forms of communication bring with them both fear and hope, on one hand allowing us deeper emotional connections and the ability to forge global communities, while on the other prompting anxieties about isolation and over-stimulation.a Feeling Mediated ainvestigates the larger context of such concerns, considering both how media technologies intersect with our emotional lives and how our ideas about these intersections influence how we think about and experience emotion and technology themselves. Drawing on extensive archival research, Brenton J. Malin explores the historical roots of much of our recent understanding of mediated feelings, showing how earlier ideas about the telegraph, phonograph, radio, motion pictures, and other once-new technologies continue to inform our contemporary thinking. With insightful analysis, a Feeling Mediated aexplores a series of fascinating arguments about technology and emotion that became especially heated during the early 20th century.These debates, which carried forward and transformed earlier discussions of technology and emotion, culminated in a set of ideas that became institutionalized in the structures of American media production, advertising, social research, and policy, leaving a lasting impact on our everyday lives."
A new understanding of consciousness that helps you to better understand your own and others behavior. Your mind is a self-organized team of specialized independent modules that each take control of your behavior depending upon context. One of these modules, the "self-module," is the verbal interpreter of all of your behavior. However this self-module only controls behavior when you are using self-control. Introspection is thus usually nothing more than self-serving rationalization. Using experimental evidence Blakeslee clearly demonstrates the many mental illusions created by this flawed understanding of self and helps you to develop a new, more accurate, self-concept.
Author: Daniel Clement Dennett
Publisher: MIT Press
Release Date: 1998
"Brainchildren" is a new collection of wide-ranging essays from one of cognitive science's most distinguished figures. This book brings together Dennett's essays on the philosophy of mind, artificial intelligence, and cognitive ethology that appeared in inaccessible journals from 1984 to 1996. Collected in a single volume, these compelling essays are now available to a wider audience.
Author: Peter Norvig
Publisher: Morgan Kaufmann
Release Date: 2014-06-28
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
Describes the human fascination with creating life as it traces the scientific research, theories, hoaxes, and inventions that presaged the evolution of contemporary robotics and experiments with artificial intelligence. 20,000 first printing.