Can an autistic child be cured of his disorder? What about his diametric opposite: the school bully? An innovative yet unscrupulous principal decides to find out. Choosing Lenny, the shut-down autistic child, and Hector, the undisciplined terror of the hallways, the nefarious Dr. Wikedda talks parents, teachers, and students into switching the lives of these two unsuspecting boys to see if they will turn into each other. Along the way, she discovers that Alice, Lenny's misfit friend, can play a vital role in the plot. Together these three students become the center of: The H.A.L. Experiment
During the occupation of West Germany after the Second World War, the American authorities commissioned polls to assess the values and opinions of ordinary Germans. They concluded that the fascist attitudes of the Nazi era had weakened to a large degree. The author and his colleagues, who returned in 1949 from the United States, were skeptical. In their view, public opinion is not simply an aggregate of individually held opinions, but is fundamentally a public concept, formed through interaction in conversations and with prevailing attitudes and ideas "in the air." In this book, they published their findings on their group discussion experiments that delved deeper into the process of opinion formation.
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Named one of the best books of 2019 by the Daily Mail, The Sunday Times (London), and the BBC An utterly transporting and original historical novel about an eighteenth-century experiment in personal isolation that yields unexpected--and deeply, shatteringly human--results. "The best kind of historical fiction. Alix Nathan is an original, with a virtuoso touch." --Hilary Mantel Herbert Powyss lives in an estate in the Welsh Marches, with enough time and income to pursue a gentleman's fashionable investigations and experiments in botany. But he longs to make his mark in the field of science--something consequential enough to present to the Royal Society in London. He hits on a radical experiment in isolation: For seven years a subject will inhabit three rooms in the basement of the manor house, fitted out with rugs, books, paintings, and even a chamber organ. Meals will arrive thrice daily via a dumbwaiter. The solitude will be totally unrelieved by any social contact whatsoever; the subject will keep a diary of his daily thoughts and actions. The pay: fifty pounds per annum, for life. Only one man is desperate to apply for the job: John Warlow, a semi-literate laborer with a wife and six children to provide for. The experiment, a classic Enlightenment exercise gone more than a little mad, will have unforeseen consequences for all included.
This volume constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Verified Software: Theories, Tools, and Experiments, VSTTE 2018, held in Oxford, UK, in July 2018. The 19 full papers presented were carefully revised and selected from 24 submissions. The papers describe large-scale verification efforts that involve collaboration, theory unification, tool integration, and formalized domain knowledge as well as novel experiments and case studies evaluating verification techniques and technologies.
Volume I, entitled “Augmentation of Brain Functions: Brain-Machine Interfaces”, is a collection of articles on neuroprosthetic technologies that utilize brain-machine interfaces (BMIs). BMIs strive to augment the brain by linking neural activity, recorded invasively or noninvasively, to external devices, such as arm prostheses, exoskeletons that enable bipedal walking, means of communication and technologies that augment attention. In addition to many practical applications, BMIs provide useful research tools for basic science. Several articles cover challenges and controversies in this rapidly developing field, such as ways to improve information transfer rate. BMIs can be applied to the awake state of the brain and to the sleep state, as well. BMIs can augment action planning and decision making. Importantly, BMI operations evoke brain plasticity, which can have long-lasting effects. Advanced neural decoding algorithms that utilize optimal feedback controllers are key to the BMI performance. BMI approach can be combined with the other augmentation methods; such systems are called hybrid BMIs. Overall, it appears that BMI will lead to many powerful and practical brain-augmenting technologies in the future.
Recent years have been characterized by tremendous advances in quantum information and communication, both theoretically and experimentally. In addition, mathematical methods of quantum information and quantum probability have begun spreading to other areas of research, beyond physics. One exciting new possibility involves applying these methods to information science and computer science (without direct relation to the problems of creation of quantum computers). The aim of this Special Volume is to encourage scientists, especially the new generation (master and PhD students), working in computer science and related mathematical fields to explore novel possibilities based on the mathematical formalisms of quantum information and probability. The contributing authors, who hail from various countries, combine extensive quantum methods expertise with real-world experience in application of these methods to computer science. The problems considered chiefly concern quantum information-probability based modeling in the following areas: information foraging; interactive quantum information access; deep convolutional neural networks; decision making; quantum dynamics; open quantum systems; and theory of contextual probability. The book offers young scientists (students, PhD, postdocs) an essential introduction to applying the mathematical apparatus of quantum theory to computer science, information retrieval, and information processes.
This book constitutes the proceedings of the Third International Conference on Biomimetic and Biohybrid Systems, Living Machines 2014, held in Milan, Italy, in July/August 2014. The 31 full papers and 27 extended abstracts included in this volume were carefully reviewed and selected from 62 submissions. The topics covered are brain based systems, active sensing, soft robotics, learning, memory, control architectures, self-regulation, movement and locomotion, sensory systems and perception.
