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Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
The Adaptive Brain I
The articles gathered in this volume represent examples of a unique approach to the study of mental phenomena: a blend of theory and experiment, informed not just by easily measurable laboratory data but also by human introspection. Subjects such as approach and avoidance, desire and fear, and novelty and habit are studied as natural events that may not exactly correspond to, but at least correlate with, some (known or unknown) electrical and chemical events in the brain.
Advances in Computers
First multi-year cumulation covers six years: 1965-70.
Memory and forgetting are inextricably intertwined. In order to understand how memory works we need to understand how and why we forget. The topic of forgetting is therefore hugely important, despite the fact that it has often been neglected in comparison with other features of memory. This volume addresses various aspects of forgetting, drawing from several disciplines, including experimental and cognitive psychology, cognitive and clinical neuropsychology, behavioural neuroscience, neuroimaging, clinical neurology, and computational modeling. The first chapters of the book discuss the history of forgetting, its theories and accounts, the difference between short-term and long-term forgetting as well as the relevance of forgetting within each of the numerous components of memory taxonomy. The central part summarizes and discusses what we have learned about forgetting from animal work, from computational modeling, and from neuroimaging. Further chapters discuss pathological forgetting in patients with amnesia and epilepsy, as well as psychogenic forgetting. The book concludes by focusing on the difference between forgetting of autobiographical memories versus collective memory forgetting. This book is the first to address the issue of forgetting from an interdisciplinary point of view, but with a particular emphasis on psychology. The book is scientific and yet accessible in tone, and as such is suitable for advanced undergraduate and postgraduate students of psychology and related subjects, such as science and neuroscience.
ARCHEOSEMA, a meta-disciplinary project of theoretical, analytical and experimental archaeology, has been recently awarded by La Sapienza University of Rome. The project title is an acronym which sums up its two main theoretical foundations: the openness of modern archaeology (ARCHEO) to the analysis of physical, historical, linguistic signs (SEMA) underlying natural and cultural systems reconstructed and simulated through Artificial Sciences. This volume edited by Marco Ramazzotti, a Supplement to «Archeologia e Calcolatori», is a Special Issue dedicated to the memory of the English archaeologist David Leonard Clarke (1937-1976), and is a further attempt to collect some applicative studies of complex natural and cultural phenomena following the Artificial Intelligence computational models through the lens of Analytical Archaeology.
In the latter half of the 20th century, forces have conspired to make the human community, at last, global. The easing of tensions between major nations, the expansion of trade to worldwide markets, widespread travel and cultural exchange, pervasive high-speed communications and automation, the explosion of knowledge, the streamlining of business, and the adoption of flexible methods have changed the face of manufacturing itself, and of research and education in manufacturing. The acceptance of the continuous improvement process as a means for organizations to respond quickly and effectively to swings in the global market has led to the demand for individuals educated in a broad range of cultural, organizational, and technical fields and capable of absorbing and adapting required knowledge and training throughout their careers. No longer will manufacturing research and education focus on an industrial sector or follow a national trend, but rather will aim at enabling international teams of companies to cooperate in rapidly designing, prototyping, and manufacturing products. The successful enterprise of the 21st century will be characterized by an organizational structure that efficiently responds to customer demands and changing global circumstances, a corporate culture that empowers employees at all levels and encourages constant communication among related groups, and a technological infrastructure that fully supports process improvement and integration. In changing itself to keep abreast of the broader transformation in manufacturing, the enterprise must look first at its organization and culture, and thereafter at supporting technologies.
This important volume defines the state of the art in the field of emotion and memory by offering a blend of research review, unpublished findings, and theory on topics related to its study. As the first contemporary reference source in this area, it summarizes findings on implicit and explicit aspects of emotion and memory, addresses conceptual and methodological difficulties associated with different paradigms and current procedures, and presents broad theoretical perspectives to guide further research. This volume articulates the accomplishments of the field and the points of disagreement, and gives the brain, clinical, and cognitive sciences an invaluable resource for 21st-century researchers. Citing and analyzing the results of experiments as well as field and case studies, the chapters are organized around methodological approaches, biological-evolutionary perspectives, and clinical perspectives, and bring together experts in neuroscience, and both cognitive and clinical psychology. Questions addressed include: * What is the nature of emotional events and what do we retain from them? * Is there something about emotional events that causes them to be processed differently in memory? * Do emotional memories have special characteristics that differ from those produced by "ordinary" memory mechanisms or systems? * Do people with emotional disturbances remember differently than normal people? * Which factors play the most crucial role in functional amnesia?