| 书目名称 | SystemsEngineering and Artificial Intelligence | | 编辑 | William F. Lawless,Ranjeev Mittu,Thomas A. McDermo | | 视频video | | | 概述 | Contains one of the first chapters, co-authored by an artificial "intelligent worker” and its human creators.Describes cutting edge research on autonomous human-machine teams, systems and Digital Twin | | 图书封面 |  | | 描述 | .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 failu | | 出版日期 | Book 2021 | | 关键词 | Artificial Intelligence; Systems Engineering; Data and Information Fusion Systems; Management of Emerge | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-77283-3 | | isbn_softcover | 978-3-030-77285-7 | | isbn_ebook | 978-3-030-77283-3 | | copyright | Springer Nature Switzerland AG 2021 |
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发表于 2025-3-21 17:50:30
