书目名称 | Engineering Artificially Intelligent Systems |
副标题 | A Systems Engineerin |
编辑 | William F. Lawless,James Llinas,Ranjeev Mittu |
视频video | |
概述 | Describes how AI and machine learning algorithms can efficiently adapt to technical‘challenges.Important for data and information fusion communities.Contributions by leading researchers in systems eng |
丛书名称 | Lecture Notes in Computer Science |
图书封面 |  |
描述 | Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time..To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. .This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamw |
出版日期 | Book 2021 |
关键词 | AI-Engineering; artificial intelligence; autonomy; computer programming; computer security; Human-Compute |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-89385-9 |
isbn_softcover | 978-3-030-89384-2 |
isbn_ebook | 978-3-030-89385-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
issn_series | 0302-9743 |
copyright | Springer Nature Switzerland AG 2021 |