Abstract:
:The potential benefits of autonomous systems are obvious. However, there are still major issues to be dealt with before developing such systems becomes a commonplace engineering practice, with accepted and trustworthy deliverables. We argue that a solid, evolving, publicly available, community-controlled foundation for developing next-generation autonomous systems is a must, and term the desired foundation "autonomics." We focus on three main challenges: 1) how to specify autonomous system behavior in the face of unpredictability; 2) how to carry out faithful analysis of system behavior with respect to rich environments that include humans, physical artifacts, and other systems; and 3) how to build such systems by combining executable modeling techniques from software engineering with artificial intelligence and machine learning.
journal_name
Proc Natl Acad Sci U S Aauthors
Harel D,Marron A,Sifakis Jdoi
10.1073/pnas.2003162117subject
Has Abstractpub_date
2020-07-28 00:00:00pages
17491-17498issue
30eissn
0027-8424issn
1091-6490pii
2003162117journal_volume
117pub_type
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