Cognitive Systems Engineering

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Cognitive Systems Engineering

Author : Philip J. Smith
Publisher : CRC Press
ISBN 13 : 1317164768
Total Pages : 568 pages
Book Rating : 4.3/5 (171 download)

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Book Synopsis Cognitive Systems Engineering by : Philip J. Smith

Download or read book Cognitive Systems Engineering written by Philip J. Smith and published by CRC Press. This book was released on 2017-10-25 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an exceptional perspective on the nature, evolution, contributions and future of the field of Cognitive Systems Engineering (CSE). It is a resource to support both the teaching and practice of CSE. It accomplishes this through its organization into two complementary approaches to the topic. The first is an historical perspective: In the retrospections of leaders of the field, what have been the seminal achievements of cognitive human factors? What are the "lessons learned" that became foundational to CSE, and how did that foundation evolve into a broader systems view of cognitive work? The second perspective is both pedagogical and future-looking: What are the major conceptual issues that have to be addressed by CSE and how can a new generation of researchers be prepared to further advance CSE? Topics include studies of expertise, cognitive work analysis, cognitive task analysis, human performance, system design, cognitive modeling, decision making, human-computer interaction, trust in automation, teamwork and ecological interface design. A thematic focus will be on systems-level analysis, and such notions as resilience engineering and systems-level measurement. The book features broad coverage of many of the domains to which CSE is being applied, among them industrial process control, health care, decision aiding and aviation human factors. The book’s contributions are provided by an extraordinary group of leaders and pathfinders in applied psychology, cognitive science, systems analysis and system design. In combination these chapters present invaluable insights, experiences and continuing uncertainties on the subject of the field of CSE, and in doing so honor the career and achievements of Professor David D. Woods of Ohio State University.

Joint Cognitive Systems

Author : Erik Hollnagel
Publisher : CRC Press
ISBN 13 : 1420038192
Total Pages : 240 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Joint Cognitive Systems by : Erik Hollnagel

Download or read book Joint Cognitive Systems written by Erik Hollnagel and published by CRC Press. This book was released on 2005-02-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nothing has been more prolific over the past century than human/machine interaction. Automobiles, telephones, computers, manufacturing machines, robots, office equipment, machines large and small; all affect the very essence of our daily lives. However, this interaction has not always been efficient or easy and has at times turned fairly hazardous.

Cognitive Systems Engineering

Author : Jens Rasmussen
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Cognitive Systems Engineering by : Jens Rasmussen

Download or read book Cognitive Systems Engineering written by Jens Rasmussen and published by Wiley-Interscience. This book was released on 1994-08-16 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powerful information technologies and the complex support systems they engender are evolving faster than people’s ability to adjust to them. In the workplace, this leads to troublesome task performance, added stress on users, increased organizational inefficiency, and, in some cases, a heightened risk of wide-scale .disaster. In the marketplace, it makes for consumer dissatisfaction. Clearly, traditional human-computer interaction (HCI) and system design (SD) solutions to this dilemma have proven woefully inadequate. What is needed is a fresh multidisciplinary approach offering a broader, more dynamic framework for assessing needs and designing usable, efficient systems. Taking modeling concepts from engineering, psychology, cognitive science, information science, and computer science, cognitive systems engineering (CSE) provides such a framework. This book is the first comprehensive guide to the emerging new field of CSE. Providing equal parts theory and practice, it is based on the authors’ many years of experience with work systems in a wide range of work domains, including process control, manufacturing, hospitals, and libraries. Throughout, the emphasis is on powerful analytical techniques that enhance the systems designer’s ability to see the "big picture," and to design for all crucial aspects of human-work interaction. Applicable to highly structured technical systems such as process plants, as well as less structured user-driven systems like libraries, these analytical techniques form the basis for the evaluation and design guidelines that make up the bulk of this book. And since the proof is in the pudding, the authors provide a chapter-length case history in which they demonstrate the success of their approach when applied to a full-scale software design project. The project, a retrieval system for public libraries, is described in detail, from field studies to concept validation experiments, and, of course, the empirical evaluation of the system while in use by the library users and personnel. Computer-based information systems are rapidly becoming a fundamental part of the human landscape. How that landscape evolves over the next decade or so, whether it becomes a hostile one or one that generously supports the needs of future generations, is in the hands of all those involved with the study and design of information systems.

The Oxford Handbook of Cognitive Engineering

Author : John D. Lee
Publisher : Oxford University Press
ISBN 13 : 0199757186
Total Pages : 659 pages
Book Rating : 4.1/5 (997 download)

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Book Synopsis The Oxford Handbook of Cognitive Engineering by : John D. Lee

Download or read book The Oxford Handbook of Cognitive Engineering written by John D. Lee and published by Oxford University Press. This book was released on 2013-03-07 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook is the first to provide comprehensive coverage of original state-of-the-science research, analysis, and design of integrated, human-technology systems.

Joint Cognitive Systems

Author : David D. Woods
Publisher : CRC Press
ISBN 13 : 1420005685
Total Pages : 232 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Joint Cognitive Systems by : David D. Woods

Download or read book Joint Cognitive Systems written by David D. Woods and published by CRC Press. This book was released on 2006-03-27 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our fascination with new technologies is based on the assumption that more powerful automation will overcome human limitations and make our systems 'faster, better, cheaper,' resulting in simple, easy tasks for people. But how does new technology and more powerful automation change our work? Research in Cognitive Systems Engineering (CSE) l

Cognitive Systems Engineering for User-computer Interface Design, Prototyping, and Evaluation

Author : Stephen J. Andriole
Publisher : CRC Press
ISBN 13 : 9780367449087
Total Pages : 286 pages
Book Rating : 4.4/5 (49 download)

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Book Synopsis Cognitive Systems Engineering for User-computer Interface Design, Prototyping, and Evaluation by : Stephen J. Andriole

Download or read book Cognitive Systems Engineering for User-computer Interface Design, Prototyping, and Evaluation written by Stephen J. Andriole and published by CRC Press. This book was released on 2019-12-02 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume seeks to answer the question: "Can findings from cognitive science enhance the user-computer interaction process?" In so doing, it recognizes that user-computer interfaces (UCIs) are often essential parts of an information or decision support system -- and often critical components of software-intensive systems of all kinds. From the outset, the authors note that the design, prototyping, and evaluation of user-computer interfaces are part of larger systems and are therefore ideally designed, developed, and evaluated as part of a larger design and developmental process or "life cycle." Thus, this book describes the process by which functional, nonfunctional, or display-oriented requirements are converted first into prototypes and then into working systems. While the process may at times seem almost mysterious, there is in fact a methodology that drives the process -- a methodology that is defined in terms of an adaptive life cycle. There are a number of steps or phases that comprise the standard life cycle, as well as methods, tools and techniques that permit each step to be taken. Describing the effort to implement this process to enhance user-computer interaction, this book presents a methodological approach that seeks to identify and apply findings from cognitive science to the design, prototyping, and evaluation of user-computer interfaces.

Cognitive Engineering in the Aviation Domain

Author : Nadine B. Sarter
Publisher : CRC Press
ISBN 13 : 1410605388
Total Pages : 376 pages
Book Rating : 4.4/5 (16 download)

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Book Synopsis Cognitive Engineering in the Aviation Domain by : Nadine B. Sarter

Download or read book Cognitive Engineering in the Aviation Domain written by Nadine B. Sarter and published by CRC Press. This book was released on 2000-09-01 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although cognitive engineering has gained widespread acceptance as one of the most promising approaches to addressing and preventing difficulties with human-machine coordination and collaboration, it still meets with considerable skepticism and resistance in some of the industries that could benefit from its insights and recommendations. The challe

Cognitive Engineering for Next Generation Computing

Author : Kolla Bhanu Prakash
Publisher : John Wiley & Sons
ISBN 13 : 1119711282
Total Pages : 368 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cognitive Engineering for Next Generation Computing by : Kolla Bhanu Prakash

Download or read book Cognitive Engineering for Next Generation Computing written by Kolla Bhanu Prakash and published by John Wiley & Sons. This book was released on 2021-03-19 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Stories of Modern Technology Failures and Cognitive Engineering Successes

Author : Nancy J. Cooke
Publisher : CRC Press
ISBN 13 : 9781410618481
Total Pages : 136 pages
Book Rating : 4.6/5 (184 download)

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Book Synopsis Stories of Modern Technology Failures and Cognitive Engineering Successes by : Nancy J. Cooke

Download or read book Stories of Modern Technology Failures and Cognitive Engineering Successes written by Nancy J. Cooke and published by CRC Press. This book was released on 2007-09-19 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: A woman is operated on while she's awake... A plane runs out of gas while circling an airport for 30 minutes... A passenger liner is mistaken for an enemy fighter and shot down... A company invests in a new system that will cost them money... What do these failure have in common? How can we prevent them from happening again? Offering a critical perspective on problems with human-technical systems, Stories of Modern Technology Failures and Cognitive Engineering Successes explores the significant efforts of those who have made a positive difference. The book analyzes a variety of cognitive engineering applications, including training, design, military, transportation, communications, medicine, and emergency response in the nuclear industry. Real world examples include— Designing a military training program that improved the detection rates of land mines Redesigning a monitor to help anesthesiologists predict dosages more effectively Implementing new protocols to improve the workflow and safety of a nuclear power plant The book’s focus on cognitive engineering solutions emphasizes methodology such as knowledge elicitation, laboratory studies, naturalistic observation, usability, and modeling. It addresses highly complex systems as well as traditional human-machine interfaces. This book demonstrates how cognitive engineers— Identify and address cognitive problems Develop, test, and implement solutions Consider social, cultural, political, and economic factors Develop criteria to measure the success of a solution

A Meaning Processing Approach to Cognition

Author : John Flach
Publisher : Routledge
ISBN 13 : 100076253X
Total Pages : 389 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis A Meaning Processing Approach to Cognition by : John Flach

Download or read book A Meaning Processing Approach to Cognition written by John Flach and published by Routledge. This book was released on 2019-11-28 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cognitive psychologist and an industrial design engineer draw on their own experiences of cognition in the context of everyday life and work to explore how people attempt to find practical solutions for complex situations. The book approaches these issues by considering higher-order relations between humans and their ecologies such as satisfying, specifying, and affording. This approach is consistent with recent shifts in the worlds of technology and product design from the creation of physical objects to the creation of experiences. Featuring a wealth of bespoke illustrations throughout, A Meaning Processing Approach to Cognition bridges the gap between controlled laboratory experiments and real-world experience, by questioning the metaphysical foundations of cognitive science and suggesting alternative directions to provide better insights for design and engineering. An essential read for all students of Ecological Psychology or Cognitive Systems Design, this book takes the reader on a journey beyond the conventional dichotomy of mind and matter to explore what really matters.

Cognitive Work Analysis

Author : Kim J. Vicente
Publisher : CRC Press
ISBN 13 : 1410603032
Total Pages : 415 pages
Book Rating : 4.4/5 (16 download)

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Book Synopsis Cognitive Work Analysis by : Kim J. Vicente

Download or read book Cognitive Work Analysis written by Kim J. Vicente and published by CRC Press. This book was released on 1999-04-01 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes, for the first time in pedagogical form, an approach to computer-based work in complex sociotechnical systems developed over the last 30 years by Jens Rasmussen and his colleagues at Risø National Laboratory in Roskilde, Denmark. This approach is represented by a framework called cognitive work analysis. Its goal is to help designers of complex sociotechnical systems create computer-based information support that helps workers adapt to the unexpected and changing demands of their jobs. In short, cognitive work analysis is about designing for adaptation. The book is divided into four parts. Part I provides a motivation by introducing three themes that tie the book together--safety, productivity, and worker health. The ecological approach that serves as the conceptual basis behind the book is also described. In addition, a glossary of terms is provided. Part II situates the ideas in the book in a broader intellectual context by reviewing alternative approaches to work analysis. The limitations of normative and descriptive approaches are outlined, and the rationale behind the formative approach advocated in this book is explored. Part III describes the concepts that comprise the cognitive work analysis framework in detail. Each concept is illustrated by a case study, and the implications of the framework for design and research are illustrated by example. Part IV unifies the themes of safety, productivity, and health, and shows why the need for the concepts in this book will only increase in the future. In addition, a historical addendum briefly describes the origins of the ideas described in the book.

Cognitive Systems and Signal Processing in Image Processing

Author : Yu-Dong Zhang
Publisher : Academic Press
ISBN 13 : 0323860095
Total Pages : 398 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive Systems and Signal Processing in Image Processing by : Yu-Dong Zhang

Download or read book Cognitive Systems and Signal Processing in Image Processing written by Yu-Dong Zhang and published by Academic Press. This book was released on 2021-11-28 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. Presents cognitive signal processing methodologies that are related to challenging image processing application domains Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies Discusses various real-time case studies and implemented works

Model-oriented Systems Engineering Science

Author : Duane W. Hybertson
Publisher : CRC Press
ISBN 13 : 9781420072525
Total Pages : 379 pages
Book Rating : 4.0/5 (725 download)

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Book Synopsis Model-oriented Systems Engineering Science by : Duane W. Hybertson

Download or read book Model-oriented Systems Engineering Science written by Duane W. Hybertson and published by CRC Press. This book was released on 2016-04-19 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems engineering (SE) is experiencing a significant expansion that encompasses increasingly complex systems. However, a common body of knowledge on how to apply complex systems engineering (CSE) has yet to be developed. A combination of people and other autonomous agents, crossing organization boundaries and continually changing, these hybrid systems are less predictable while being more self-organizing and adaptive than traditional systems. The growing pains of this evolution and the ever-widening reach of SE technology require an effective foundation for integrating traditional and complex engineering methods, addressing machine and human interaction, as well as scaling up and down, from nano scale to the macro system-of-systems level. Model-oriented Systems Engineering Science: A Unifying Framework for Traditional and Complex Systems addresses solutions to that expansion and integration problem. This text takes advantage of better-understood systems science (SS) to support the transition, identifying and using commonalities between complex systems and other sciences, such as biology, sociology, cognitive science, organizational theory, and computational science. The author defines Model-oriented Systems Engineering Science (MOSES), an organized system that selects appropriate information from these disciplines and unifies it into a coherent framework. The result is a seamless approach to the class of systems across the extended scope of the new SE—a foundation upon which to develop an enhanced and unified SE. Modeling orientation (MO) provides a common perspective on the entire SES/SE enterprise, including all supporting sciences, engineering for the full range of traditional, complex, and hybrid systems, and their management. This book extends existing modeling approaches into an MO that views all science artifacts and engineering artifacts as models of systems. It organizes them into a virtual structured repository called the "SE model space"—effectively a container for the accumulating body of SE and SES knowledge in the form of models and patterns. By organizing and integrating all these elements into a common framework, the author makes the material not only easily accessible but also immediately applicable, and provides a well-grounded basis for future growth and evolution of the SE discipline.

Knowledge Engineering

Author : Gheorghe Tecuci
Publisher : Cambridge University Press
ISBN 13 : 1316654184
Total Pages : 482 pages
Book Rating : 4.3/5 (166 download)

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Book Synopsis Knowledge Engineering by : Gheorghe Tecuci

Download or read book Knowledge Engineering written by Gheorghe Tecuci and published by Cambridge University Press. This book was released on 2016-09-08 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a significant advancement in the theory and practice of knowledge engineering, the discipline concerned with the development of intelligent agents that use knowledge and reasoning to perform problem solving and decision-making tasks. It covers the main stages in the development of a knowledge-based agent: understanding the application domain, modeling problem solving in that domain, developing the ontology, learning the reasoning rules, and testing the agent. The book focuses on a special class of agents: cognitive assistants for evidence-based reasoning that learn complex problem-solving expertise directly from human experts, support experts, and nonexperts in problem solving and decision making, and teach their problem-solving expertise to students. A powerful learning agent shell, Disciple-EBR, is included with the book, enabling students, practitioners, and researchers to develop cognitive assistants rapidly in a wide variety of domains that require evidence-based reasoning, including intelligence analysis, cybersecurity, law, forensics, medicine, and education.

Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models

Author : Jorge Garza Ulloa
Publisher : Elsevier
ISBN 13 : 0128209348
Total Pages : 705 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models by : Jorge Garza Ulloa

Download or read book Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models written by Jorge Garza Ulloa and published by Elsevier. This book was released on 2021-11-30 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models focuses on the relationship between three different multidisciplinary branches of engineering: Biomedical Engineering, Cognitive Science and Computer Science through Artificial Intelligence models. These models will be used to study how the nervous system and musculoskeletal system obey movement orders from the brain, as well as the mental processes of the information during cognition when injuries and neurologic diseases are present in the human body. The interaction between these three areas are studied in this book with the objective of obtaining AI models on injuries and neurologic diseases of the human body, studying diseases of the brain, spine and the nerves that connect them with the musculoskeletal system. There are more than 600 diseases of the nervous system, including brain tumors, epilepsy, Parkinson's disease, stroke, and many others. These diseases affect the human cognitive system that sends orders from the central nervous system (CNS) through the peripheral nervous systems (PNS) to do tasks using the musculoskeletal system. These actions can be detected by many Bioinstruments (Biomedical Instruments) and cognitive device data, allowing us to apply AI using Machine Learning-Deep Learning-Cognitive Computing models through algorithms to analyze, detect, classify, and forecast the process of various illnesses, diseases, and injuries of the human body. Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models provides readers with the study of injuries, illness, and neurological diseases of the human body through Artificial Intelligence using Machine Learning (ML), Deep Learning (DL) and Cognitive Computing (CC) models based on algorithms developed with MATLAB® and IBM Watson®. Provides an introduction to Cognitive science, cognitive computing and human cognitive relation to help in the solution of AI Biomedical engineering problems Explain different Artificial Intelligence (AI) including evolutionary algorithms to emulate natural evolution, reinforced learning, Artificial Neural Network (ANN) type and cognitive learning and to obtain many AI models for Biomedical Engineering problems Includes coverage of the evolution Artificial Intelligence through Machine Learning (ML), Deep Learning (DL), Cognitive Computing (CC) using MATLAB® as a programming language with many add-on MATLAB® toolboxes, and AI based commercial products cloud services as: IBM (Cognitive Computing, IBM Watson®, IBM Watson Studio®, IBM Watson Studio Visual Recognition®), and others Provides the necessary tools to accelerate obtaining results for the analysis of injuries, illness, and neurologic diseases that can be detected through the static, kinetics and kinematics, and natural body language data and medical imaging techniques applying AI using ML-DL-CC algorithms with the objective of obtaining appropriate conclusions to create solutions that improve the quality of life of patients

Self-Modifying Systems in Biology and Cognitive Science

Author : G. Kampis
Publisher : Elsevier
ISBN 13 : 0080912397
Total Pages : 543 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Self-Modifying Systems in Biology and Cognitive Science by : G. Kampis

Download or read book Self-Modifying Systems in Biology and Cognitive Science written by G. Kampis and published by Elsevier. This book was released on 2013-10-22 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.

Neuromorphic Cognitive Systems

Author : Qiang Yu
Publisher : Springer
ISBN 13 : 3319553100
Total Pages : 172 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Neuromorphic Cognitive Systems by : Qiang Yu

Download or read book Neuromorphic Cognitive Systems written by Qiang Yu and published by Springer. This book was released on 2017-05-03 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.