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Anthology from the year 2011 in the subject Sociology - Knowledge and Information, , language: English, abstract: This is a book about embodiment -- the idea that intelligence requires a body -- and how having a body shapes the way we think. The idea that the body is required for intelligence has been around since nearly three decades ago, but an awful lot has changed since then. Research labs and leading technology companies around the world have produced a host of sometimes science fiction-like creations: unbelievably realistic humanoids, robot musicians, wearable technology, robots controlled by biological brains, robots that can walk without a brain, real-life cyborgs, robots in homes for the elderly, robots that literally put themselves together, and artificial cells grown automatically. This new breed of technology is the direct result of the embodied approach to intelligence. Along the way, many of the initially vague ideas have been elaborated and the arguments sharpened, and are beginning to form into a coherent structure. This popular science book, aimed at a broad audience, provides a clear and up to date overview of the progress being made. At the heart of the book are a set of abstract design principles that can be applied in designing intelligent systems of any kind: in short, a theory of intelligence. But science and technology are no longer isolated fields: they closely interact with the corporate, political, and social aspects of our society -- so this book not only provides a novel perspective on artificial intelligence, but also aims to change how we view ourselves and the world around us. Credits: Front Cover Design by Hakam El Essawy Featuring the humanoid robot ‘EDS’ Photo: Patrick Knab Robot construction: The Robot Studio (TRS) ECCE Robot project: EU's 7th Framework Programme, ICT Challenge2, 'Cognitive Systems and Robotics' Motors: maxon motor, Switzerland Know-How Partner: Starmind.com
Includes the leading names, movements, materials and processes such as furniture, fashion, cars, graphics, products, signs and symbols that have influenced the world of design.
A collection of fourteen essays which provide an overview of the argument for intelligent design, with diagrams, explanations, and relevant quotations.
Architects who engaged with cybernetics, artificial intelligence, and other technologies poured the foundation for digital interactivity. In Architectural Intelligence, Molly Wright Steenson explores the work of four architects in the 1960s and 1970s who incorporated elements of interactivity into their work. Christopher Alexander, Richard Saul Wurman, Cedric Price, and Nicholas Negroponte and the MIT Architecture Machine Group all incorporated technologies—including cybernetics and artificial intelligence—into their work and influenced digital design practices from the late 1980s to the present day. Alexander, long before his famous 1977 book A Pattern Language, used computation and structure to visualize design problems; Wurman popularized the notion of “information architecture”; Price designed some of the first intelligent buildings; and Negroponte experimented with the ways people experience artificial intelligence, even at architectural scale. Steenson investigates how these architects pushed the boundaries of architecture—and how their technological experiments pushed the boundaries of technology. What did computational, cybernetic, and artificial intelligence researchers have to gain by engaging with architects and architectural problems? And what was this new space that emerged within these collaborations? At times, Steenson writes, the architects in this book characterized themselves as anti-architects and their work as anti-architecture. The projects Steenson examines mostly did not result in constructed buildings, but rather in design processes and tools, computer programs, interfaces, digital environments. Alexander, Wurman, Price, and Negroponte laid the foundation for many of our contemporary interactive practices, from information architecture to interaction design, from machine learning to smart cities.
The New York Times bestselling author of Darwin’s Doubt presents groundbreaking scientific evidence of the existence of God, based on breakthroughs in physics, cosmology, and biology. Beginning in the late 19th century, many intellectuals began to insist that scientific knowledge conflicts with traditional theistic belief—that science and belief in God are “at war.” Philosopher of science Stephen Meyer challenges this view by examining three scientific discoveries with decidedly theistic implications. Building on the case for the intelligent design of life that he developed in Signature in the Cell and Darwin’s Doubt, Meyer demonstrates how discoveries in cosmology and physics coupled with those in biology help to establish the identity of the designing intelligence behind life and the universe. Meyer argues that theism—with its affirmation of a transcendent, intelligent and active creator—best explains the evidence we have concerning biological and cosmological origins. Previously Meyer refrained from attempting to answer questions about “who” might have designed life. Now he provides an evidence-based answer to perhaps the ultimate mystery of the universe. In so doing, he reveals a stunning conclusion: the data support not just the existence of an intelligent designer of some kind—but the existence of a personal God.
The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.
Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.
Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the "how" than the "what." An experiment in mind design is more likely to be an attempt to build something and make it work—as in artificial intelligence—than to observe or analyze what already exists. Mind design is psychology by reverse engineering. When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's "Computing Machinery and Intelligence") and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are "philosophical" in that they address fundamental issues and concepts; and all are "scientific" in that they are technically sophisticated and concerned with concrete empirical research. Contributors Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder
Von der Produktidee über den Prototyp und die Modellsimulation bis zur Analyse: Dieser Band hilft Entwicklern und Designern beim Verständnis aller Abläufe im Zuge des Designs neuer Produkte, Prozesse und Systeme. Eine Fülle von Beispielen industrieller Anwendungen, realer Probleme und zugehöriger Lösungen hilft beim Vertiefen und Umsetzen des Stoffes. (05/00)
Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.