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This book presents research trends on computer vision, especially on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision). Among them, research on RFID technology integrating stereo vision to localize an indoor mobile robot is included in this book. Besides, this book includes many research on omnidirectional vision, and the combination of omnidirectional vision with robotics. This book features representative work on the computer vision, and it puts more focus on robotics vision and omnidirectioal vision. The intended audience is anyone who wishes to become familiar with the latest research work on computer vision, especially its applications on robots. The contents of this book allow the reader to know more technical aspects and applications of computer vision. Researchers and instructors will benefit from this book.

COMPUTERS / Artificial Intelligence / General. --- Machine learning

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This book presents machine learning (ML) concepts with a hands-on approach for physicists. The goal is to both educate and enable a larger part of the community with these skills. This will lead to wider applications of modern ML techniques in physics. Accessible to physical science students, the book assumes a familiarity with statistical physics but little in the way of specialized computer science background. All chapters start with a simple introduction to the basics and the foundations, followed by some examples, and then proceeds to provide concrete examples with associated codes from a GitHub repository. Many of the code examples provided can be used as is or with suitable modification by the students for their own applications.

Physics --- Machine learning. --- Artificial intelligence. --- COMPUTERS / Artificial Intelligence / General. --- Data processing.

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"An argument for overturning the Kantian terms of rights and ethics in order to make progress on the robot rights debate"--

Robots --- Androids --- Moral and ethical aspects. --- PHILOSOPHY / Ethics & Moral Philosophy --- COMPUTERS / Artificial Intelligence / General --- TECHNOLOGY & ENGINEERING / Robotics

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"An evolutionary case for the existence of free will. Scientists are learning more and more about how brain activity controls behavior and how neural circuits weigh alternatives and initiate actions. As we probe ever deeper into the mechanics of decision making, many conclude that agency-or free will-is an illusion. In Free Agents, leading neuroscientist Kevin Mitchell presents a wealth of evidence to the contrary, arguing that we are not mere machines responding to physical forces but agents acting with purpose. Traversing billions of years of evolution, Mitchell tells the remarkable story of how living beings capable of choice emerged from lifeless matter. He explains how the emergence of nervous systems provided a means to learn about the world, granting sentient animals the capacity to model, predict, and simulate. Mitchell reveals how these faculties reached their peak in humans with our abilities to imagine and to introspect, to reason in the moment, and to shape our possible futures through the exercise of our individual agency. Mitchell's argument has important implications-for how we understand decision making, for how our individual agency can be enhanced or infringed, for how we think about collective agency in the face of global crises, and for how we consider the limitations and future of artificial intelligence.An astonishing journey of discovery, Free Agents offers a new framework for understanding how, across a billion years of Earth history, life evolved the power to choose and why this matters"-- "Scientists are learning more and more details of how patterns of brain activity control behaviour; how animals - including humans - make decisions, how neural circuits accumulate evidence, weigh alternatives, and instigate actions. But as that decision-making machinery is being revealed, it seems harder to escape the conclusion that we really are just machines. Indeed, according to Mitchell it is fashionable among many scientists to declare that we do not in fact have free will - that there is no way that we could. In this book, Mitchell argues against this notion, instead contending that we really are agents: we make decisions, we choose, we act - we are causal forces in the universe. But Michell's goal here is not merely to lob another bomb into the free will debate; it is to show how, over billiions of years, life actually evolved the power to choose. Mitchell traces how agency evolved from the origin of life and the invention of nervous systems to the elaboration of decision-making and the eventual emergence of the kind of conscious cognitive control in humans that we call "free will." As Mitchell shows, over billions of years life evolved the power to choose, and this view is very much compatible with the laws of physics and new scientific discoveries. What emerges from this book is a new framework for understanding agency. This has important implications for how we think of who we are as humans, how we understand our decision-making processes, how our individual agency can be enhanced or infringed, and how we think about collective agency, particularly in light of global scale crises. More fundamentally, we see how the story of agency is the story of life itself"--

Brain --- COMPUTERS / Artificial Intelligence / General. --- Evolutionary psychology. --- Free will and determinism --- Neurosciences. --- SCIENCE / Life Sciences / Neuroscience. --- Evolution. --- Physiological aspects. --- Affective and dynamic functions

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"An argument if favor of hybrid AI systems over purely ML ones to increase machine transparency and human trust"--

Artificial intelligence. --- Natural language processing (Computer science) --- Computational linguistics. --- COMPUTERS / Artificial Intelligence / General --- COMPUTERS / Data Science / Machine Learning --- COMPUTERS / Computer Science