Engineering Artificially Intelligent Systems

Language: English

Published by Springer Nature Switzerland AG, CH, 2021

3030893847 / 9783030893842

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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 teamwork; human-computer interaction; trust; and resilience.

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Title
Engineering Artificially Intelligent Systems
Author
William F. Lawless, James Llinas, Donald A. Sofge, Ranjeev Mittu
Publisher
Springer Nature Switzerland AG, CH
Publication year
2021
Condition
New
Binding
Paperback
Language
English
ISBN 10
3030893847
ISBN 13
9783030893842
Edition
1st ed. 2021.
Item weight
456 grams
Dimensions
15.5 x 1.7 x 23.5 cm

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