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Engineering artificially intelligent systems : a systems engineering approach to realizing synergistic capabilities / William F. Lawless, James Llinas, Donald A. Sofge, Ranjeev Mittu (eds.).

Lawless, William F. (William Frere), 1942- editor.; Llinas, James, editor.; Sofge, Donald A., editor.; Mittu, Ranjeev, editor.; AAAI Spring Symposium (2021 : Online)
2021
Q334
Available Online
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Title
Engineering artificially intelligent systems : a systems engineering approach to realizing synergistic capabilities / William F. Lawless, James Llinas, Donald A. Sofge, Ranjeev Mittu (eds.).
ISBN
9783030893859 (electronic bk.)
3030893855 (electronic bk.)
9783030893842 (print)
DOI
https://doi.org/10.1007/978-3-030-89385-9
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (xii, 281 pages) : illustrations (some color).
Item Number
10.1007/978-3-030-89385-9 doi
Call Number
Q334
Dewey Decimal Classification
006.3
Summary
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. The chapter "How Interdependence Explains the World of Team work" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 29, 2021).
Added Author
Lawless, William F. (William Frere), 1942- editor.
Llinas, James, editor.
Sofge, Donald A., editor.
Mittu, Ranjeev, editor.
Added Meeting Name
AAAI Spring Symposium (2021 : Online)
Series
Lecture notes in computer science ; 13000.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
Available in Other Form
Print version: 9783030893842
Print version: 9783030893866
Linked Resources
Online Access
Record Appears in
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