Premium
AI4SE and SE4AI: A Research Roadmap
Author(s) -
McDermott Tom,
DeLaurentis Dan,
Beling Peter,
Blackburn Mark,
Bone Mary
Publication year - 2020
Publication title -
insight
Language(s) - English
Resource type - Journals
eISSN - 2156-4868
pISSN - 2156-485X
DOI - 10.1002/inst.12278
Subject(s) - autonomy , research center , engineering management , structuring , engineering , center (category theory) , key (lock) , automation , systems engineering , computer science , political science , mechanical engineering , chemistry , computer security , law , crystallography
In 2019, the Research Council of the Systems Engineering Research Center (SERC), a US Defense Department sponsored University Affiliated Research Center (UARC), developed a roadmap structuring and guiding artificial intelligence (AI) and autonomy research. This paper presents that roadmap and key underlying Digital Engineering transformation aspects both enabling traditional systems engineering practice automation (AI4SE), and encourage new systems engineering practices supporting a new wave of automated, adaptive, and learning systems (SE4AI).