Distributed Perception

Who, what, and where perceives, and how? What are the sedimentations, inscriptions, and axiologies of animal, human, and machinic perception/s? What are their perceptibilities? Deleuze uses the word ‘visibilities’ to indicate that visual perception isn’t just a physiological given but cues operations productive of new assemblages. Perceptibilities are, by analogy, spatio-temporal, geolocative, kinaesthetic, audio-visual, and haptic operations that are always already memory. In the case of strong inscriptions, they are also epigenetic events. In physics, resonance is the tendency of a system to vibrate with increasing amplitudes at certain frequencies of excitation. In cybernetics and in theories of technology, it refers to systems’ feedback. In Native science, resonance denotes the axiology of positions and events. It’s a form of multi-species perception that emphasises emergent directionality and protean mnemonics. This transdisciplinary volume brings together key theorists and practitioners from media theory, Native science, bio-media and sound art, philosophy, art his- tory, and design informatics to examine: a) the becoming-technique of animal– human–machinic perceptibilities; and b) micro-perceptions that lie beneath the threshold of known perceptions yet create energetic vibrations. The volume shows distributed perception to be a key notion in addressing the emergence and peristence of plant, animal, human, and machine relations.

The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.

This volume presents the most up-to-date collection of neural network models of music and creativity gathered together in one place. Chapters by leaders in the field cover new connectionist models of pitch perception, tonality, musical streaming, sequential and hierarchical melodic structure, composition, harmonization, rhythmic analysis, sound generation, and creative evolution. The collection combines journal papers on connectionist modeling, cognitive science, and music perception with new papers solicited for this volume. It also contains an extensive bibliography of related work. Contributors Shumeet Baluja, M.I. Bellgard, Michael A. Casey, Garrison W. Cottrell, Peter Desain, Robert O. Gjerdingen, Mike Greenhough, Niall Griffith, Stephen Grossberg, Henkjan Honing, Todd Jochem, Bruce F. Katz, John F. Kolen, Edward W. Large, Michael C. Mozer, Michael P.A. Page, Caroline Palmer, Jordan B. Pollack, Dean Pomerleau, Stephen W. Smoliar, Ian Taylor, Peter M. Todd, C.P. Tsang, Gregory M. Werner

Auditory Perception of Sound Sources covers higher-level auditory processes that are perceptual processes. The chapters describe how humans and other animals perceive the sounds that they receive from the many sound sources existing in the world. This book will provide an overview of areas of current research involved with understanding how sound-source determination processes operate. This book will focus on psychophysics and perception as well as being relevant to basic auditory research. Contents: Perceiving Sound Sources: An Overview William A. Yost Human Sound Source Identification Robert A. Lutfi Size Information in the Production and Perception of Communication Sounds Roy D. Patterson, David R. R. Smith, Ralph van Dinther, and Tom Walters The role of memory in auditory perception Laurent Demany, and Catherine Semal Auditory Attention and Filters Ervin R. Hafter, Anastasios Sarampalis, and Psyche Loui Informational masking Gerald Kidd Jr., Christine R. Mason, Virginia M. Richards, Frederick J. Gallun, and Nathaniel I. Durlach Effects of harmonicity and regularity on the perception of sound sources Robert P. Carlyon, and Hedwig E. Gockel Spatial Hearing and Perceiving Sources Christopher J. Darwin Envelope Processing and Sound-Source Perception Stanley Sheft Speech as a Sound Source Andrew J. Lotto, and Sarah C. Sullivan Sound Source Perception and Stream Segregation in Non-human Vertebrate Animals Richard R. Fay About the editors: William A. Yost, Ph.D., is Professor of Psychology, Adjunct Professor of Hearing Sciences of the Parmly Hearing Institute, and Adjunct Professor of Otolaryngology at Loyola University of Chicago. Arthur N. Popper is Professor in the Department of Biology and Co-Director of the Center for Comparative and Evolutionary Biology of Hearing at the University of Maryland, College Park. Richard R. Fay is Director of the Parmly Hearing Institute and Professor of Psychology at Loyola University of Chicago. About the series: The Springer Handbook of Auditory Research presents a series of synthetic reviews of fundamental topics dealing with auditory systems. Each volume is independent and authoritative; taken as a set, this series is the definitive resource in the field.

This book presents the breakthrough and cutting-edge progress for collaborative perception and mapping by proposing a novel framework of multimodal perception-relative localization–collaborative mapping for collaborative robot systems. The organization of the book allows the readers to analyze, model and design collaborative perception technology for autonomous robots. It presents the basic foundation in the field of collaborative robot systems and the fundamental theory and technical guidelines for collaborative perception and mapping. The book significantly promotes the development of autonomous systems from individual intelligence to collaborative intelligence by providing extensive simulations and real experiments results in the different chapters. This book caters to engineers, graduate students and researchers in the fields of autonomous systems, robotics, computer vision and collaborative perception.

A provocative investigation of the future of photography and human perception in the age of AI. We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation—and the transformation of human perception by algorithmically driven images, from CGI to AI—The Perception Machine investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vilém Flusser–Paul Virilio remix. Her “perception machine” names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today’s automation of vision, imaging—and imagination. Written by a theorist-practitioner, the book incorporates Zylinska’s own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.

"This book provides a well-rounded synopsis of the state-of-the-art in perceptual-based multimedia design"--Provided by publisher.

This volume focuses on social perception, the processing of information about people. This issue has always been central to social psychology, but this book brings together literatures that in large part have been separated by the nature of the social target that is involved. Historically, research on person perception developed quite independently from research involving perceptions of groups. Whereas the former research generally focused on the cognitive processes involved in forming impressions of individuals, research on group perception examined the content of stereotypes and the conditions under which they are used in social judgment. There was been little overlap in the theories and methods of these subfields, and different researchers were central in each. The chapters in this book highlight research and theorizing about social perception, exploring the processes involved in social perception from persons to groups. Some chapters describe work that was originally developed in person perception but is being extended to understanding groups. Other chapters illustrate how some processes studied in the domain of stereotyping also affect perceptions of individual persons. Finally, other chapters focus on variables that affect perceptions and judgments of both individuals and groups, proving opportunities for greater recognition of the common set of factors that are central to all types of social perception. This groundbreaking book highlights the research contributions of David L. Hamilton, whose research has played a central role in uniting these previously independent areas of research. It provides essential reading for upper-level courses on social cognition or social perception and could also serve as an auxiliary text in courses on interpersonal perception/relations and courses on stereotyping/intergroup relations.