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Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry. - Presents a complex, interdisciplinary area in an accessible way, including the latest trends and developments - Brings together disciplines such as neuroscience, cognitive science and artificial intelligence - Gives the latest methods and theories in the development of new intelligent technologies - Reflects upon the most important achievements in the study of natural and artificial intelligence - Contextualizes intelligence research within the history and progress of twenty-first century science
A comprehensive, scientific examination of the popular psychological construct of emotional intelligence.
Artificial intelligence has long been a mainstay of science fiction and increasingly it feels as if AI is entering our everyday lives, with technology like Apple's Siri now prominent, and self-driving cars almost upon us. But what do we actually mean when we talk about 'AI'? Are the sentient machines of 2001 or The Matrix a real possibility or will real-world artificial intelligence look and feel very different? What has it done for us so far? And what technologies could it yield in the future? AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies and achievements, as well as looking into just how it works. He also considers the future, assessing whether these technologies could menace our way of life, but also how we are all likely to benefit from AI applications in the years to come. Entertaining, enlightening, and keenly argued, this is the essential one-stop guide to the AI debate.
Drawn from the pages of Scientific American and collected here for the first time, this work contains updated and condensed information, made accessible to a general popular science audience, on the subject of artificial intelligence.
This book constitutes the refereed proceedings of the Second International Conference on Intelligence Science, ICIS 2017, held in Shanghai, China, in October 2017. The 38 full papers and 9 short papers presented were carefully reviewed and selected from 82 submissions. They deal with key issues in intelligence science and have been organized in the following topical sections: theory of intelligence science; cognitive computing; big data analysis and machine learning; machine perception; intelligent information processing; and intelligent applications.
Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gödel, Popper, Penrose, and Lucas, to address the hotly contested question of whether computers might become intellectually superior to human beings.
“If you are reading this, count yourself lucky to have found this book. It contains some of the most fascinating information and material you will ever read.” —New York Times best-selling author Jack Canfield Self-Intelligence is the self-help book for people who long to transform their lives and who trust only proven scientific tools, but also prefer page-turners to dry prose. Cutting-edge brain science meets superb storytelling as readers learn proven techniques to break through inner gridlock, sustain high performance, and achieve their dreams. All of this is possible due to neuroplasticity, the revolutionary discovery that we can literally re-form our brains by strategically choosing our thoughts, actions, and experiences. First came emotional intelligence, then came social intelligence. Here, at last, Self-Intelligence provides the big picture, incorporating the latest research from diverse scientific fields. Mental coach, transformational trainer, and science addict Jane Ransom lays out for you the new Self-Intelligence™ model, which she has used to help countless clients achieve the positive change they previously found impossible. You’ll be uplifted, motivated to move forward, and simply fascinated. The author, who also is a master hypnotist, devotes a riveting chapter to the art and science of hypnosis. Throughout the book, she shares intriguing behind-the-curtain glimpses of its applications. By following the easy, clear precepts of Self-Intelligence, you can finally achieve your true potential and take the scientific short-cuts to greater success. You’ll be empowered to avert old obstacles because the five-part model addresses your entire being, from the hidden depths of your subconscious self to your striving self, who sets and achieves tangible goals.
The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.
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.
In late seventeenth-century London, the most provocative images were produced not by artists, but by scientists. Magnified fly-eyes drawn with the aid of microscopes, apparitions cast on laboratory walls by projection machines, cut-paper figures revealing the “exact proportions” of sea monsters—all were created by members of the Royal Society of London, the leading institutional platform of the early Scientific Revolution. Wicked Intelligence reveals that these natural philosophers shaped Restoration London’s emergent artistic cultures by forging collaborations with court painters, penning art theory, and designing triumphs of baroque architecture such as St Paul’s Cathedral. Matthew C. Hunter brings to life this archive of experimental-philosophical visualization and the deft cunning that was required to manage such difficult research. Offering an innovative approach to the scientific image-making of the time, he demonstrates how the Restoration project of synthesizing experimental images into scientific knowledge, as practiced by Royal Society leaders Robert Hooke and Christopher Wren, might be called “wicked intelligence.” Hunter uses episodes involving specific visual practices—for instance, concocting a lethal amalgam of wax, steel, and sulfuric acid to produce an active model of a comet—to explore how Hooke, Wren, and their colleagues devised representational modes that aided their experiments. Ultimately, Hunter argues, the craft and craftiness of experimental visual practice both promoted and menaced the artistic traditions on which they drew, turning the Royal Society projects into objects of suspicion in Enlightenment England. The first book to use the physical evidence of Royal Society experiments to produce forensic evaluations of how scientific knowledge was generated, Wicked Intelligence rethinks the parameters of visual art, experimental philosophy, and architecture at the cusp of Britain’s imperial power and artistic efflorescence.