Editors:
- 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 Twins
- Deals with the complexity and the insights gained from the concept of interdependence
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Table of contents (25 chapters)
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Front Matter
About this book
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.Editors and Affiliations
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Paine College, Augusta, USA
William F. Lawless
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Information Technology Division, United States Naval Research Laboratory, Washington, USA
Ranjeev Mittu
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United States Naval Research Laboratory, Washington, USA
Donald A. Sofge
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Lockheed Martin Space Systems, King of Prussia, USA
Thomas Shortell
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Stevens Institute of Technology, Hoboken, USA
Thomas A. McDermott
About the editors
Ranjeev Mittu is the Branch Head for the Information Management and Decision Architectures Branch within the Information Technology Division at the U.S. Naval Research Laboratory. The research within the branch is focused on visual analytics and augmented reality, immersive simulations, intelligent decision support applications, distributed systems and enterprise and service oriented architectures.
Donald A. Sofge is a Computer Scientist with the Naval Research Laboratory, Washington, DC, USA, where he leads the Distributed Autonomous Systems Group. He has extensive expertise in the application of artificial intelligence, machine learning, machine vision (and other forms of artificial perception), planning and control theory to robotic systems.
Thomas Shortell is a Systems Engineer at Lockheed Martin. He has been awarded the PhD degree by Drexel University.
Tom McDermott is a leader, educator, and innovator in multiple technology fields. He currently serves as Deputy Director of the Systems Engineering Research Center at Stevens Institute of Technology in Hoboken, NJ, as well as a consultant specializing in strategic planning for uncertain environments. He serves as Director of Strategic Integration on the Board of the International Council on Systems Engineering.
Bibliographic Information
Book Title: Systems Engineering and Artificial Intelligence
Editors: William F. Lawless, Ranjeev Mittu, Donald A. Sofge, Thomas Shortell, Thomas A. McDermott
DOI: https://doi.org/10.1007/978-3-030-77283-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-77282-6Published: 02 November 2021
Softcover ISBN: 978-3-030-77285-7Published: 03 November 2022
eBook ISBN: 978-3-030-77283-3Published: 02 November 2021
Edition Number: 1
Number of Pages: XV, 569
Number of Illustrations: 43 b/w illustrations, 116 illustrations in colour
Topics: Artificial Intelligence, Special Purpose and Application-Based Systems, User Interfaces and Human Computer Interaction