Titlebook: SystemsEngineering and Artificial Intelligence; William F. Lawless,Ranjeev Mittu,Thomas A. McDermo Book 2021 Springer Nature Switzerland A

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978-3-030-77285-7Springer Nature Switzerland AG 2021

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Book 2021al 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 degr

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,Humanity in the Era of Autonomous Human–machine Teams,get involved themselves in the autonomous human–machine teams. In fact, some of their earlier actions have already taken place and have contributed to the changing face of the humanities, which will also be highlighted in this chapter.

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Shifting Paradigms in Verification and Validation of AI-Enabled Systems: A Systems-Theoretic Perspe not fit for purpose. AI-enabled systems necessitate a paradigm shift in V&V activities. To enable this shift, we will delineate a set of theoretical advances and process transformations that could support such shift.

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Recognizing Artificial Intelligence: The Key to Unlocking Human AI Teams,rlie first participated in a panel discussion and then advanced to speak during multiple podcast interviews, contribute to a rap battle, catalyze a brainstorming workshop, and even write collaboratively (see the author list above). To explore the concepts and overcome the challenges when engineering

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Artificial Intelligence and Future of Systems Engineering,.” Like many other domains, the engineering disciplines will see transformational advances in the use of artificial intelligence (AI) and machine learning (ML) to automate many routine engineering tasks. At the same time, applying AI, ML, and autonomation to complex and critical systems needs holist

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,Toward System Theoretical Foundations for Human–Autonomy Teams,, model, design, and verify correctness at a system level. Also important are extending this to monitoring and repairing systems in real time and over lifetimes to detect problems and restore desired properties when they are lost. Systems engineering methods that address these issues are typically b