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Condition: As New. Unread book in perfect condition.
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Engineering Artificially Intelligent Systems
Language: English
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030893847 ISBN 13: 9783030893842
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 1st ed. 2021.
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Condition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Engineering Artificially Intelligent Systems: A Systems Engineering Approach to Realizing Synergistic Capabilities (Information Systems and Applications, incl. Internet/Web, and HCI)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 60.59
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Computational Context : The Value, Theory and Application of Context With Ai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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£ 58.16
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Computational Context : The Value, Theory and Application of Context With Ai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Systems Engineering and Artificial Intelligence
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good.
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Condition: New.
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Condition: New. pp. 303.
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 328 pages. 9.25x6.14x0.94 inches. In Stock.
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Condition: New. pp. 303.
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Engineering Artificially Intelligent Systems : A Systems Engineering Approach to Realizing Synergistic Capabilities
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030893847 ISBN 13: 9783030893842
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many current AI and machine learning algorithms and data and information fusion processesattempt in software to estimate situations in our complex world of nested feedback loops. Suchalgorithms and processes must gracefully and efficiently adapt to technical challenges such asdata quality induced by these loops, and interdependencies that vary in complexity, space, andtime.To realize effective and efficient designs of computational systems, a Systems Engineeringperspective may provide a framework for identifying the interrelationships and patterns ofchange between components rather than static snapshots. We must study cascadinginterdependencies through this perspective to understand their behavior and to successfullyadopt complex system-of-systems in society.This book derives in part from the presentations given at the AAAI 2021 Spring Symposiumsession on Leveraging Systems Engineering to Realize Synergistic AI / Machine LearningCapabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics insystems engineering; AI, machine learning, and reasoning; data and information fusion;intelligent systems; autonomous systems; interdependence and teamwork; human-computerinteraction; trust; and resilience.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 584 | Sprache: Englisch | Produktart: Bücher | This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teamsżwhere the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.
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Artificial Intelligence for the Internet of Everything
Language: English
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128176369 ISBN 13: 9780128176368
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 104.73
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New. pp. 300.
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Condition: New. pp. 303.
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Condition: New. pp. 300.
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Paperback. Condition: New. 1st ed. 2021.
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Artificial Intelligence for the Internet of Everything
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 116.72
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Artificial Intelligence for the Internet of Everything
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 116.71
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Condition: New.
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Condition: New. pp. 300.
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Condition: New.
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