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Published on: October 14, 2017
Autonomics: In search of a foundation for next-generation autonomous systems
David Harel1, Assaf Marron2, Joseph Sifakis3
1Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel; dharel@weizmann.ac.il.
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.
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