Autonomics: In search of a foundation for next-generation autonomous systems

Proceedings of the National Academy of Sciences of the United States of America
David HarelJoseph Sifakis

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.

Citations

Jul 23, 2020·Proceedings of the National Academy of Sciences of the United States of America·Beth Azar
Aug 26, 2021·IScience·Sarvapali D RamchurnNicholas R Jennings

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