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Drones, Artificial Intelligence, & the Coming Human Annihilation
Imagine a world full of drones of all shapes and sizes that are everywhere in the air, on the land, the sea, or even under the sea, including Terminator robots. Now ponder an existence where these same drones monitor and control everything spying on our every move. Stir in an actual movement going on right now in the scientific community to create a super highly advanced Artificial Intelligence to control it all on a global scale and you now have what is contained within this book: Drones, Artificial Intelligence, & the Coming Human Annihilation. This macabre dark scenario might seem like some futuristic science fiction story or even a bit far-fetched. Yet, what you are about to discover in the pages of this book is the spine-chilling truth that this wild shocking reality is actually being developed right now before our very eyes. This book, Drones, Artificial Intelligence, & the Coming Human Annihilation, will to enlighten you to the hardcore facts concerning this dangerous emerging technology.
Multi-Agent Systems and Applications
This book presents selected tutorial lectures given at the summer school on Multi-Agent Systems and Their Applications held in Prague, Czech Republic, in July 2001 under the sponsorship of ECCAI and Agent Link. The 20 lectures by leading researchers in the field presented in the book give a competent state-of-the-art account of research and development in the field of multi-agent systems and advanced applications. The book offers parts on foundations of MAS; social behaviour, meta-reasoning, and learning; and applications.
Balancing Acts
Drawing on interviews with Dan Bernstein (psychology, University of Nebraska), Brian Coppola (chemistry, University of Michigan), Sheri Sheppard (mechanical engineering, Stanford University), Randy Bass (American literature, Georgetown University), and colleagues within and outside their institutions and fields, the author looks at the routes these pathfinders have traveled through the scholarship of teaching and learning and at the consequences that this unusual work has had for the advancement of their careers, especially tenure and promotion. In collaboration with the Carnegie Foundation for the Advancement of Teaching
Biomimetic and Biohybrid Systems
This book constitutes the refereed proceedings of the second International Conference on Biomimetic and Biohybrid Systems, Living Machines 2013, held in London, UK, in July/August 2013. The 65 revised full papers presented were carefully reviewed and selected from various submissions. The papers are targeted at the intersection of research on novel live-like technologies inspired by scientific investigation of biological systems, biomimetics, and research that seeks to interface biological and artificial systems to create biohybrid systems
Design Thinking Research
Extensive research conducted by the Hasso Plattner Design Thinking Research Program at Stanford University in Palo Alto, California, USA, and the Hasso Plattner Institute in Potsdam, Germany, has yielded valuable insights on why and how design thinking works. The participating researchers have identified metrics, developed models, and conducted studies, which are featured in this book, and in the previous volumes of this series. This volume provides readers with tools to bridge the gap between research and practice in design thinking with varied real world examples. Several different approaches to design thinking are presented in this volume. Acquired frameworks are leveraged to understand d...
How to Walk on Water and Climb up Walls
Discovering the secrets of animal movement and what they can teach us Insects walk on water, snakes slither, and fish swim. Animals move with astounding grace, speed, and versatility: how do they do it, and what can we learn from them? In How to Walk on Water and Climb up Walls, David Hu takes readers on an accessible, wondrous journey into the world of animal motion. From basement labs at MIT to the rain forests of Panama, Hu shows how animals have adapted and evolved to traverse their environments, taking advantage of physical laws with results that are startling and ingenious. In turn, the latest discoveries about animal mechanics are inspiring scientists to invent robots and devices that...
Autonomous Robots
An introduction to the science and practice of autonomous robots that reviews over 300 current systems and examines the underlying technology. Autonomous robots are intelligent machines capable of performing tasks in the world by themselves, without explicit human control. Examples range from autonomous helicopters to Roomba, the robot vacuum cleaner. In this book, George Bekey offers an introduction to the science and practice of autonomous robots that can be used both in the classroom and as a reference for industry professionals. He surveys the hardware implementations of more than 300 current systems, reviews some of their application areas, and examines the underlying technology, includ...
Multiagent Systems, second edition
The new edition of an introduction to multiagent systems that captures the state of the art in both theory and practice, suitable as textbook or reference. Multiagent systems are made up of multiple interacting intelligent agents—computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art...
Towards Dependable Robotic Perception
Reliable perception is required in order for robots to operate safely in unpredictable and complex human environments. However, reliability of perceptual inference algorithms has been poorly studied so far. These algorithms capture uncertain knowledge about the world in the form of probabilistic belief distributions. A number of Monte Carlo and deterministic approaches have been developed, but their efficiency depends on the degree of smoothness of the beliefs. In the real world, the smoothness assumption often fails, leading to unreliable perceptual inference results. Motivated by concrete robotics problems, we propose two novel perceptual inference algorithms that explicitly consider local...
