Quorum Sensing Re-evaluation Algorithm for N-Site Selection in Autonomous Swarms

Shreeya Khurana, Donald Sofge

Abstract

Flexible decision-making is a vital aspect of swarm behavior. Nature offers a level of uncertainty that could force a swarm to reconsider a site previously abandoned. While efforts are being made to allow for flexible decision-making in autonomous swarms, there is little literature in the area of re-evaluation functions as most models utilize site abandonment functions. The research in this paper produces a re-evaluation algorithm for discrete n-site selection by autonomous swarms, taking inspiration from prior work with quorum sensing models and ant colony optimization algorithms. The algorithm’s success in re-evaluation trades off with decision time, but increases the accuracy of decisions made.

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Paper Citation


in Harvard Style

Khurana S. and Sofge D. (2020). Quorum Sensing Re-evaluation Algorithm for N-Site Selection in Autonomous Swarms.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-395-7, pages 193-198. DOI: 10.5220/0008957801930198


in Bibtex Style

@conference{icaart20,
author={Shreeya Khurana and Donald Sofge},
title={Quorum Sensing Re-evaluation Algorithm for N-Site Selection in Autonomous Swarms},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2020},
pages={193-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008957801930198},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Quorum Sensing Re-evaluation Algorithm for N-Site Selection in Autonomous Swarms
SN - 978-989-758-395-7
AU - Khurana S.
AU - Sofge D.
PY - 2020
SP - 193
EP - 198
DO - 10.5220/0008957801930198