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Systems Engineering and Artificial Intelligence - 2021 ed.

By: (Edited by) Donald A. Sofge , (Edited by) Ranjeev Mittu , (Edited by) Thomas A. McDermott , (Edited by) Thomas Shortell , (Edited by) William F. Lawless

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Ksh 27,000.00

Format: Paperback / Softback

ISBN-10: 3030772853

ISBN-13: 9783030772857

Edition: 2021 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 3rd, 2022

Print length: 569 Pages

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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.

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.



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