Surfing Uncertainty


Book Description

Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.




Expected Experiences


Book Description

"This book brings together perspectives on predictive processing and expected experience. It features contributions from an interdisciplinary group of authors specializing in philosophy, psychology, cognitive science, and neuroscience. Predictive processing, or predictive coding, is the theory that the brain constantly minimizes the error of its predictions based on the sensory input it receives from the world. This process of prediction error minimization has numerous implications for different forms of conscious and perceptual experience. The chapters in this volume explore these implications and various phenomenon related to them. The contributors tackle issues related to precision estimation, sensory prediction, probabilistic perception, and attention, as well as the role predictive processing plays in emotion, action, psychotic experience, anosognosia, and gut complex. Expected Experiences will be of interest to scholars and advanced students in philosophy, psychology, and cognitive science working on issues related to predictive processing and coding"--




Computer Safety, Reliability, and Security


Book Description

This book constitutes the proceedings of the 39th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2020, held in Lisbon, Portugal, in September 2020.* The 27 full and 2 short papers included in this volume were carefully reviewed and selected from 116 submissions. They were organized in topical sections named: safety cases and argumentation; formal verification and analysis; security modelling and methods; assurance of learning-enabled systems; practical experience and tools; threat analysis and risk mitigation; cyber-physical systems security; and fault injection and fault tolerance. *The conference was held virtually due to the COVID-19 pandemic. The chapter ‘Assurance Argument Elements for Off-the-Shelf, Complex Computational Hardware’ is available open access under an Open Government License 3.0 via link.springer.com.




Remote Sensing Big Data


Book Description

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.




Distributed Sensor Networks


Book Description

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field.This two volume set, this second edition has been revised and expanded with over 500 additional pages and more than 300 new illustrations. This edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. It offers 13 fully revised chapters and 22 new chapters, covering new perspectives on information fusion, the latest technical developments, and current sensor network applications. Volume 1 Image and Sensor Signal Processing includes: Distributed Sensing and Signal Processing; Information Fusion; and Power Management. Volume 2 Sensor Networking and Applications includes: Sensor Deployment; Adaptive Tasking; Self-Configuration; System Control; and Engineering Examples.




Knowledge as a Feeling


Book Description

This book explores the idea that knowing is a feeling that results from the interactions of the brain's unconscious and conscious processes and not through the accumulation of facts. It explains what neuroscience and psychology reveal about what it means to know and how our brain learns.




The Social Brain


Book Description

A range of empirical and theoretical perspectives on the relationship between biology and social cognition from infancy through childhood. Recent research on the developmental origins of the social mind supports the view that social cognition is present early in infancy and childhood in surprisingly sophisticated forms. Developmental psychologists have found ingenious ways to test the social abilities of infants and young children, and neuroscientists have begun to study the neurobiological mechanisms that implement and guide early social cognition. Their work suggests that, far from being unfinished adults, babies are exquisitely designed by evolution to capture relevant social information, learn, and explore their social environments. This volume offers a range of empirical and theoretical perspectives on the relationship between biology and social cognition from infancy through childhood. The contributors consider scientific advances in early social perception and cognition, including findings on the development of face processing and social perceptual biases; explore recent research on early infant competencies for language and theory of mind, including a developmental account of how young children become moral agents and the role of electrophysiology in identifying psychological processes that underpin social cognition; discuss the origins and development of prosocial behavior, reviewing evidence for a set of innate predispositions to be social, cooperative, and altruistic; examine how young children make social categories; and analyze atypical social cognition, including autism spectrum disorder and psychopathy. Contributors Lior Abramson, Renée Baillargeon, Pascal Belin, Frances Buttelmann, Sofia Cardenas, Michael J. Crowley, Fabrice Damon, Jean Decety, Michelle de Haan, Ghislaine Dehaene-Lambertz, Melody Buyukozer Dawkins, Xiao Pan Ding, Kristen A. Dunfield, Rachel D. Fine, Ana Fló, Jennifer R. Frey, Susan A. Gelman, Diane Goldenberg, Marie-Hélène Grosbras, Tobias Grossmann, Caitlin M. Hudac, Dora Kampis, Tara A. Karasewich, Ariel Knafo-Noam, Tehila Kogut, Ágnes Melinda Kovács, Valerie A. Kuhlmeier, Kang Lee, Narcis Marshall, Eamon McCrory, David Méary, Christos Panagiotopoulos, Olivier Pascalis, Markus Paulus, Kevin A. Pelphrey, Marcela Peña, Valerie F. Reyna, Marjorie Rhodes, Ruth Roberts, Hagit Sabato, Darby Saxbe, Virginia Slaughter, Jessica A. Sommerville, Maayan Stavans, Nikolaus Steinbeis, Fransisca Ting, Florina Uzefovsky, Essi Viding




Sensor Networks in Structural Health Monitoring: From Theory to Practice


Book Description

The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.




Sensing and Systems in Pervasive Computing


Book Description

Focus on issues and principles in context awareness, sensor processing and software design (rather than sensor networks or HCI or particular commercial systems). Designed as a textbook, with readings and lab problems in most chapters. Focus on concepts, algorithms and ideas rather than particular technologies.