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hardcover. Zustand: Very Good.
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In den WarenkorbZustand: New. pp. 303.
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In den WarenkorbPaperback. Zustand: Brand New. 328 pages. 9.25x6.14x0.94 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030893847 ISBN 13: 9783030893842
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
EUR 134,79
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In den WarenkorbZustand: New. pp. 300.
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EUR 139,02
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EUR 160,83
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EUR 165,16
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EUR 162,92
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Taschenbuch. Zustand: Neu. Artificial Intelligence for the Internet of Everything | William Lawless (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Academic Press | EAN 9780128176368 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Zustand: 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 teams¿where 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.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 198,95
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Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030772853 ISBN 13: 9783030772857
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Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, 2020
ISBN 10: 0128205431 ISBN 13: 9780128205433
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In den WarenkorbZustand: New. Inhaltsverzeichnisrnrn1. Introduction 2. Interaction, Analogy, and Meta reasoning: Applying Cognitive Science to Robotics 3. Context: Adding Command Knowledge At the Human Edge 4. Separating the Forest and The Trees - Wavelet Contextual Con.
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Taschenbuch. Zustand: Neu. Systems Engineering and Artificial Intelligence | William F. Lawless (u. a.) | Taschenbuch | xv | Englisch | 2022 | Springer | EAN 9783030772857 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbZustand: New.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 teams-where 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.
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 teams-where 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.
EUR 213,24
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In den WarenkorbZustand: New. Investigates how interdependence is the missing ingredient necessary to produce operational autonomous systemsIntegrates concepts from a wide range of disciplines, including applied and theoretical AI, quantum mechanics, social sciences, an.
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In den WarenkorbZustand: New. Investigates the challenges in creating synergistic human and AI-based autonomous system-of-systemsIntegrates concepts from a wide range of disciplines, including applied and theoretical AI, quantum mechanics, social sciences, and systems e.
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In den WarenkorbHardcover. Zustand: Brand New. 275 pages. 9.50x6.50x1.00 inches. In Stock.
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In den WarenkorbGebunden. Zustand: New. This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field second, the theory guiding the AI used to model its context and third, its applica.
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EUR 273,49
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In den WarenkorbPaperback. Zustand: Brand New. 584 pages. 9.25x6.10x1.42 inches. In Stock.