Distributed Perception

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Publisher : Routledge
ISBN 13 : 1000521702
Total Pages : 273 pages
Book Rating : 4.02/5 ( download)

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Book Synopsis Distributed Perception by : Natasha Lushetich

Download or read book Distributed Perception written by Natasha Lushetich and published by Routledge. This book was released on 2021-12-29 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Distributed Perception

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Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.62/5 ( download)

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Book Synopsis Distributed Perception by : Christopher Brian Robinson

Download or read book Distributed Perception written by Christopher Brian Robinson and published by . This book was released on 2009 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Distributed Consensus with Visual Perception in Multi-Robot Systems

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Publisher : Springer
ISBN 13 : 3319156993
Total Pages : 166 pages
Book Rating : 4.96/5 ( download)

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Book Synopsis Distributed Consensus with Visual Perception in Multi-Robot Systems by : Eduardo Montijano

Download or read book Distributed Consensus with Visual Perception in Multi-Robot Systems written by Eduardo Montijano and published by Springer. This book was released on 2015-02-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central proposition is that a consistent perception of the world is crucial for the good development of any multi-robot application. The text focuses on the high-level problem of cooperative perception by a multi-robot system: the idea that, depending on what each robot sees and its current situation, it will need to communicate these things to its fellows whenever possible to share what it has found and keep updated by them in its turn. However, in any realistic scenario, distributed solutions to this problem are not trivial and need to be addressed from as many angles as possible. Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as: • distributed consensus algorithms; • data association and robustness problems; • convergence speed; and • cooperative mapping. The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras. Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.

Distributed processing in bistable perception

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ISBN 13 :
Total Pages : pages
Book Rating : 4.31/5 ( download)

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Book Synopsis Distributed processing in bistable perception by : T. H. J. Knapen

Download or read book Distributed processing in bistable perception written by T. H. J. Knapen and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Perception of Multiple Objects

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Publisher :
ISBN 13 :
Total Pages : 430 pages
Book Rating : 4.02/5 ( download)

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Book Synopsis The Perception of Multiple Objects by : Michael C. Mozer

Download or read book The Perception of Multiple Objects written by Michael C. Mozer and published by . This book was released on 1987 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Networks for Perception

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Publisher : Academic Press
ISBN 13 : 1483260259
Total Pages : 543 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Neural Networks for Perception by : Harry Wechsler

Download or read book Neural Networks for Perception written by Harry Wechsler and published by Academic Press. This book was released on 2014-05-10 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.

Perception-Action Cycle

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Publisher : Springer Science & Business Media
ISBN 13 : 1441914528
Total Pages : 785 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Perception-Action Cycle by : Vassilis Cutsuridis

Download or read book Perception-Action Cycle written by Vassilis Cutsuridis and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 785 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks for Perception

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Publisher : Academic Press
ISBN 13 : 1483262790
Total Pages : 384 pages
Book Rating : 4.96/5 ( download)

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Book Synopsis Neural Networks for Perception by : Harry Wechsler

Download or read book Neural Networks for Perception written by Harry Wechsler and published by Academic Press. This book was released on 2014-05-10 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks for Perception, Volume 2: Computation, Learning, and Architectures explores the computational and adaptation problems related to the use of neuronal systems, and the corresponding hardware architectures capable of implementing neural networks for perception and of coping with the complexity inherent in massively distributed computation. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The text is organized into two sections. The first section, computation and learning, discusses topics on learning visual behaviors, some of the elementary theory of the basic backpropagation neural network architecture, and computation and learning in the context of neural network capacity. The second section is on hardware architecture. The chapters included in this part of the book describe the architectures and possible applications of recent neurocomputing models. The Cohen-Grossberg model of associative memory, hybrid optical/digital architectures for neorocomputing, and electronic circuits for adaptive synapses are some of the subjects elucidated. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.

Using Distributed Network Systems to Model Perception with an Artificial Neural Network

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Publisher :
ISBN 13 :
Total Pages : 164 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Using Distributed Network Systems to Model Perception with an Artificial Neural Network by : Tide Kansona Takizala

Download or read book Using Distributed Network Systems to Model Perception with an Artificial Neural Network written by Tide Kansona Takizala and published by . This book was released on 2004 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Encyclopedia of Perception

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Publisher : SAGE
ISBN 13 : 1412940818
Total Pages : 1281 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Encyclopedia of Perception by : E. Bruce Goldstein

Download or read book Encyclopedia of Perception written by E. Bruce Goldstein and published by SAGE. This book was released on 2010 with total page 1281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Because of the ease with which we perceive, many people see perception as something that "just happens." However, even seemingly simple perceptual experiences involve complex underlying mechanisms, which are often hidden from our conscious experience. These mechanisms are being investigated by researchers and theorists in fields such as psychology, cognitive science, neuroscience, computer science, and philosophy. A few examples of the questions posed by these investigations are, What do infants perceive? How does perception develop? What do perceptual disorders reveal about normal functioning? How can information from one sense, such as hearing, be affected by information from another sense, such as vision? How is the information from all of our senses combined to result in our perception of a coherent environment? What are some practical outcomes of basic research in perception? These are just a few of the questions this encyclopedia will consider, as it presents a comprehensive overview of the field of perception for students, researchers, and professionals in psychology, the cognitive sciences, neuroscience, and related medical disciplines such as neurology and ophthalmology.