Multi-agent systems (MAS) may encounter uncertainties in the form of unexpected environmental conditions, sub-optimal system configurations, and unplanned interactions between autonomous agents. The number of combinations of such uncertainties may be innumerable, however run-time testing may reduce the issues impacting such a system. We posit that search heuristics can augment a run-time testing process, in-situ, for a MAS. To support our position we discuss our in-progress experimental testbed to realize this goal and highlight challenges we anticipate for this domain.
@article{arxiv.2205.05502,
title = {Towards Run-Time Search for Real-World Multi-Agent Systems},
author = {Abigail C. Diller and Erik M. Fredericks},
journal= {arXiv preprint arXiv:2205.05502},
year = {2022}
}