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Human-Machine Shared Contexts, Lawless, William


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Автор: Lawless, William   (Уиллиам Лоулесс)
Название:  Human-Machine Shared Contexts
Перевод названия: Уиллиам Лоулесс: Человеко-машинный общий контекст
ISBN: 9780128205433
Издательство: Elsevier Science
Классификация:

ISBN-10: 0128205431
Обложка/Формат: Paperback
Страницы: 300
Вес: 0.47 кг.
Дата издания: 01.06.2020
Язык: English
Размер: 192 x 234 x 27
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines.

This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these machines may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers think through this change in human terms, the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines.

This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers.




Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Memory and Action Selection in Human-Machine Interaction

Автор: Munéo Kitajima
Название: Memory and Action Selection in Human-Machine Interaction
ISBN: 184821927X ISBN-13(EAN): 9781848219274
Издательство: Wiley
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Цена: 22010.00 р.
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Описание:

The first goal of this book is to extend Two Minds originating from behavioral economics to the domain of interaction, where the time dimension has to be dealt with rigorously; in human-machine interaction, it is of crucial importance how synchronization between conscious processes and unconscious processes is established for a sense of smoothness, and how memory processes and action selection processes are coordinated. The first half this book describes the theory in detail. The book begins by outlining the whole view of the theory consisting of action selection processes and memorization processes, and their interactions. Then, a detailed description for action selection processes theorized as a nonlinear dynamic human behavior model with real-time constraints is provided, followed by a description for memorization processes. Also, implications of the theory to human-machine interactions are discussed.

The second goal of this book is to provide a methodology to study how Two Minds works in practice when people use interactive systems. The latter half of this book describes theory practices in detail. A new methodology called Cognitive Chrono-Ethnography (CCE) is introduced, which adds the time dimension to Hutchins' Cognitive Ethnography, in order to practice "know the users" systematically by designing user studies based on a simulation of users' mental operations controlled by Two Minds. The author then shows how CCE has been applied to understanding the ways in which people navigate in real physical environments by walking and by car, respectively, and explores the possibility of applying CCE to predict people's future needs. This is not for understanding how people use interfaces at present but to predict how people want to use the interfaces in the future given they are currently using them in a certain way

Finally, the book concludes by describing implications of human-machine interactions that are carried out while using modern artefacts for people's cognitive development from birth, on the basis of the theories of action selection and memorization.

Computer Vision for Human-Machine Interaction

Автор: Cipolla
Название: Computer Vision for Human-Machine Interaction
ISBN: 0521622530 ISBN-13(EAN): 9780521622530
Издательство: Cambridge Academ
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Цена: 14098.00 р.
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Описание: This 1998 book collects the ideas and algorithms from the world`s leading scientists, offering a glimpse of the radical changes that could occur as a result of advances in computer vision.

Human-Robot Interaction

Название: Human-Robot Interaction
ISBN: 1138626759 ISBN-13(EAN): 9781138626751
Издательство: Taylor&Francis
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Цена: 16078.00 р.
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Описание: This book provides a comprehensive introduction to human robot interaction, with a focus on safety, standardization, and benchmarking. Featuring contributions from leading experts, the book presents state-of-the-art research and includes real-world applications and use cases.

An Introduction to Machine Learning

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

AI and Human Thought and Emotion

Автор: Sam Freed
Название: AI and Human Thought and Emotion
ISBN: 0367029294 ISBN-13(EAN): 9780367029296
Издательство: Taylor&Francis
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Цена: 16078.00 р.
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Описание: This reference work examines how human thought processes and emotion can be captured by artificial intelligence (AI) algorithms and code. It provides a theoretical framework and demonstrates how code can be generate on the basis of the framework.

Human-Computer Interaction. Interaction Contexts

Автор: Masaaki Kurosu
Название: Human-Computer Interaction. Interaction Contexts
ISBN: 3319580760 ISBN-13(EAN): 9783319580760
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The two-volume set LNCS 10271 and 10272 constitutes the refereed proceedings of the 19th International Conference on Human-Computer Interaction, HCII 2017, held in Vancouver, BC, Canada, in July 2017. The total of 1228 papers presented at the 15 colocated HCII 2017 conferences was carefully reviewed and selected from 4340 submissions.

Human-Computer Interaction: Users and Contexts

Автор: Masaaki Kurosu
Название: Human-Computer Interaction: Users and Contexts
ISBN: 331921005X ISBN-13(EAN): 9783319210056
Издательство: Springer
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Цена: 10062.00 р.
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Описание: The 3-volume set LNCS 9169, 9170, 9171 constitutes the refereed proceedings of the 17th International Conference on Human-Computer Interaction, HCII 2015, held in Los Angeles, CA, USA, in August 2015. The total of 1462 papers and 246 posters presented at the HCII 2015 conferences was carefully reviewed and selected from 4843 submissions.

Computer After Me, The: Awareness And Self-Awareness In Autonomic Systems

Автор: Pitt Jeremy
Название: Computer After Me, The: Awareness And Self-Awareness In Autonomic Systems
ISBN: 1783264179 ISBN-13(EAN): 9781783264179
Издательство: World Scientific Publishing
Цена: 16632.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: We are increasingly seeing computer systems which are expected to function without operator intervention. This is perhaps acceptable for running computer networks or traffic lights; however, we are now seeing computer systems deployed to qualitatively influence human judgments such as rulings on legal disputes or fitness for work to evaluate disability benefits. In keeping with the precautionary principle, it is important that those who are developing this capability - technologists and scientists - think through its potential implications.The aim of this book is to explore the technological and social and implications of computers and robots becoming increasingly 'aware' of their environment and the people in it, and their being increasingly 'self-aware' of their own existence within it.The wide-ranging scope of the text covers three different angles of the concept of 'the computer after me': (1) the next generation of computationally powerful aware systems; (2) systems in which the computer is aware of qualitatively impact human concerns such as law, health and rules; and (3) computers and robots which are aware of themselves.

Local Applications of the Ecological Approach To Human-Machine Systems

Автор: Hancock
Название: Local Applications of the Ecological Approach To Human-Machine Systems
ISBN: 0805813802 ISBN-13(EAN): 9780805813807
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems

Mind Computation

Автор: Shi Zhongzhi
Название: Mind Computation
ISBN: 9813145803 ISBN-13(EAN): 9789813145801
Издательство: World Scientific Publishing
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Цена: 24552.00 р.
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Описание:

Mind computation is a hot topic of intelligence science. It is explored by computing to explain the theoretical basis of human intelligence. Through long-term research, a mind model CAM (Consciousness and Memory) is proposed, which provides a general framework for brain-like intelligence and brain-like intelligent systems.

This novel book centers on mind model CAM, systematically discusses the theoretical basis of mind computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for professionals and graduate students in intelligence science, cognitive science and artificial intelligence.


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