Human-Machine Shared Contexts

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 "s...

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Главный автор: Lawless, William
Другие авторы: Mittu, Ranjeev, 19..- (Редактор), Sofge, Donald A. (Редактор)
Формат: Livre numérique
Язык:Anglais
Опубликовано: San Diego, CA : Elsevier Science 2020.
Paris : Cyberlibris
Online-ссылка:Accès Université d'Orléans et IFPM
Примечание: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128223796.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Human-Machine Shared Contexts, Edited by William Lawless, Ranjeev Mittu, Donald Sofge, San Diego, CA, Elsevier Science, 2020, 1 vol. (448 p.), 978-01-2820-543-3
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520 |a 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 
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700 1 |a Sofge, Donald A.  |4 edt 
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