Attention In Cognitive Systems Theories And Systems From An Interdisciplinary Viewpoint
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Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint by Lucas Paletta,Erich Rome Pdf
This volume provides a much-needed interdisciplinary angle on the subject of attention in cognitive systems. It constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, held in Hyderabad, India, in January 2007. The 31 papers are organized in topical sections that cover every aspect of the subject, from the embodiment of attention and its cognitive control, to the applications of attentive vision.
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint by Lucas Paletta,Erich Rome Pdf
This volume provides a much-needed interdisciplinary angle on the subject of attention in cognitive systems. It constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, held in Hyderabad, India, in January 2007. The 31 papers are organized in topical sections that cover every aspect of the subject, from the embodiment of attention and its cognitive control, to the applications of attentive vision.
Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts by Pomplun, Marc Pdf
"This book provides interdisciplinary research that evaluates the performance of machine visual models and systems in comparison to biological systems, blending the ideas of current scientific knowledge and biological vision"--
From Human Attention to Computational Attention by Matei Mancas,Vincent P. Ferrera,Nicolas Riche,John G. Taylor Pdf
This both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines. What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this book’s introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry.
Advanced Concepts for Intelligent Vision Systems by Jaques Blanc-Talon,Wilfried Philips,Dan Popescu,Paul Scheunders,Richard Kleihorst Pdf
This book constitutes the refereed proceedings of the 13th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2011, held in Ghent, Belgium, in August 2011. The 66 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on classification recognition, and tracking, segmentation, images analysis, image processing, video surveillance and biometrics, algorithms and optimization; and 3D, depth and scene understanding.
In typical child development, attention controls many aspects of learning, including memory, motor control, and problem solving. Attention organizes the constant influx of information that needs to be absorbed by children. Inside Visual Attention in Children: Theories and Activities, Dr. Kenneth A. Lane describes the positive aspects of attention that are needed for children to be successful in the classroom, such as concentration and vigilance, as opposed to negative aspects that can lead to failure, such as distractibility and confusion. This book is divided into two parts. The first eight chapters of the book explain attention and its relationship to vision and visual stimuli. The core topics discussed here include Autism, ADHD, Dyslexia, Executive Function, and Memory. The second half outlines a Vision Therapy program and consists of activities for improving visual attention in children. Over 100 activities are explained and illustrated. Visual Attention in Children: Theories and Activities is anchored on current theories in five areas of attention that shape child development. Theories Described Include: • Focused Attention – The ability to respond discreetly to visual, auditory, and tactile stimuli • Selective Attention – The ability to maintain behavioral or cognitive abilities in the face of distracting or competing stimuli • Shifting Attention – The ability to rapidly shift attention from one object to another • Sustained Attention – The ability to maintain a consistent behavioral response during a continuous or repetitive activity • Divided Attention –The ability to engage in more than one attention-focused task at one time. Visual Attention in Children: Theories and Activities is the perfect tool for occupational therapy students and clinicians as well as other professionals specializing in child development and learning who are looking to enhance their understanding of this topic and who need unique ideas and activities to add to their visual therapy training programs.
From Attention to Goal-Directed Behavior by Francisco Aboitiz,Diego Cosmelli Pdf
Attention is a key psychological construct in the understanding of human cognition, and the target of enormous efforts to elucidate its physiological mechanisms, as the wealth of literature—both primary and secondary—attests (for recent compilations see Itti, Rees, & Tsotsos, 2005; Paletta & Rome, 2008; Posner, 2004). But in addition to asking what attention actually is, decomposing and analyzing its varieties, or delimiting its neurobiological mechanisms and effects, in this volume we want to explore attention somewhat differently. We believe that a full-fledged theory of attention must consider its workings in the context of motivated, goal-directed, and environmentally constrained organisms. That attention is related to goal-directed behavior is not news. What the contri- tions to this volume do suggest, however, is the existence of fundamental links between attention and two key processes that are crucial for adapted conduct: go- directed behavior and cognitive control. Importantly, they show that these relations can be explored at multiple levels, including neurodynamical, neurochemical, evo- tionary, and clinical aspects, and that in doing so multiple methodological challenges arise that are worth considering and pursuing. The reader will find here, therefore, a selection of contributions that range from basic mechanisms of attention at the n- ronal level to developmental aspects of cognitive control and its impairments. Another trend that will become evident is that, in different ways, the authors stress the need to understand these issues as they unfold in natural behavior (both healthy and pathological), thus arguing for a more ecological approach to these questions.
An interdisciplinary account of phenomenal unity, investigating how experiential wholes can be characterized and how such characterizations can be analyzed computationally. How can we account for phenomenal unity? That is, how can we characterize and explain our experience of objects and groups of objects, bodily experiences, successions of events, and the attentional structure of consciousness as wholes? In this book, Wanja Wiese develops an interdisciplinary account of phenomenal unity, investigating how experiential wholes can be characterized and how such characterization can be analyzed conceptually as well as computationally. Wiese first addresses how the unity of consciousness can be characterized phenomenologically, discussing what it is like to experience wholes and what is the experiential contribution of phenomenal unity. Considering the associated conceptual and empirical issues, he draws connections to phenomenological accounts and research on Gestalt theory. The results show how the attentional structure of experience, the experience of temporal flow, and different types of experiential wholes contribute to our sense of phenomenal unity. Moreover, characterizing phenomenal unity in terms of the existence of a single global phenomenal state is neither necessary nor sufficient to adequately address the problem of phenomenal unity. Wiese then suggests that the concepts and ideas of predictive processing can be used to analyze phenomenal unity computationally. The result is both a conceptual framework and an interdisciplinary account: the regularity account of phenomenal unity. According to this account, experienced wholes correspond to a hierarchy of connecting regularities. The brain tracks these regularities by hierarchical prediction error minimization, which approximates hierarchical Bayesian inference.
For more than 40 years, pattern recognition approaches are continuingly improving and have been used in an increasing number of areas with great success. This book discloses recent advances and new ideas in approaches and applications for pattern recognition. The 30 chapters selected in this book cover the major topics in pattern recognition. These chapters propose state-of-the-art approaches and cutting-edge research results. I could not thank enough to the contributions of the authors. This book would not have been possible without their support.
The Handbook of Attention by Jonathan Fawcett,Evan Risko,Alan Kingstone Pdf
An authoritative overview of current research on human attention, emphasizing the relation between cognitive phenomena observed in the laboratory and in the real world. Laboratory research on human attention has often been conducted under conditions that bear little resemblance to the complexity of our everyday lives. Although this research has yielded interesting discoveries, few scholars have truly connected these findings to natural experiences. This book bridges the gap between “laboratory and life” by bringing together cutting-edge research using traditional methodologies with research that focuses on attention in everyday contexts. It offers definitive reviews by both established and rising research stars on foundational topics such as visual attention and cognitive control, underrepresented domains such as auditory and temporal attention, and emerging areas of investigation such as mind wandering and embodied attention. The contributors discuss a range of approaches and methodologies, including psychophysics, mental chronometry, stationary and mobile eye-tracking, and electrophysiological and functional brain imaging. Chapters on everyday attention consider such diverse activities as driving, shopping, reading, multitasking, and playing videogames. All chapters present their topics in the same overall format: historical context, current research, the possible integration of laboratory and real-world approaches, future directions, and key and outstanding issues. Contributors Richard A. Abrams, Lewis Baker, Daphne Bavelier, Virginia Best, Adam B. Blake, Paul W. Burgess, Alan D. Castel, Karen Collins, Mike J. Dixon, Sidney K. D'Mello, Julia Föcker, Charles L. Folk, Tom Foulsham, Jonathan A. Fugelsang, Bradley S. Gibson, Matthias S. Gobel, Davood G. Gozli, Arthur C. Graesser, Peter A. Hancock, Kevin A. Harrigan, Simone G. Heideman, Cristy Ho, Roxane J. Itier, Gustav Kuhn, Michael F. Land, Mallorie Leinenger, Daniel Levin, Steven J. Luck, Gerald Matthews, Daniel Memmert, Stephen Monsell, Meeneley Nazarian, Anna C. Nobre, Andrew M. Olney, Kerri Pickel, Jay Pratt, Keith Rayner, Daniel C. Richardson, Evan F. Risko, Barbara Shinn-Cunningham, Vivian Siu, Jonathan Smallwood, Charles Spence, David Strayer, Pedro Sztybel, Benjamin W. Tatler, Eric T. Taylor, Jeff Templeton, Robert Teszka, Michel Wedel, Blaire J. Weidler, Lisa Wojtowicz, Jeremy M. Wolfe, Geoffrey F. Woodman
Multi-Channel Marketing, Branding and Retail Design by Anonim Pdf
This unique book focuses upon service design, including retail and multi-channel marketing matters pertinent to the current age where physical contact with consumers has resurfaced as an enduring part of the marketing and branding landscape - complementary to online and virtual worlds.
Fundamental Issues of Artificial Intelligence by Vincent C. Müller Pdf
This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.
Machine Learning: Concepts, Methodologies, Tools and Applications by Management Association, Information Resources Pdf
"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques by Gonzalez, Fabio A.,Romero, Eduardo Pdf
Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.
