ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance

Auteurs-es

DOI :

https://doi.org/10.32473/flairs.36.133361

Mots-clés :

Task Allocation, Information Gain, Constraint Reasoning, Planning

Résumé

ARCHIMEDES is a suite of algorithms for planning and task allocation to monitor and surveil a geometrically defined area with a group of heterogenous agents. We focus on maximizing the information gained over a fleet of such agents. The multi-step process allows for our force-based system to find a solution faster by generating reasonable starting points for agents. We present our proposed algorithms, compare them to the most relevant related work via a walkthrough discussion, and describe experimental results from ARCHIMEDES in many mathematically abstract scenarios.

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Publié-e

2023-05-08

Comment citer

Schoenbeck, S., & Kuter, U. (2023). ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance. The International FLAIRS Conference Proceedings, 36(1). https://doi.org/10.32473/flairs.36.133361

Numéro

Vol. 36 (2023): Proceedings of FLAIRS-36

Rubrique

Main Track

Licence

© Simon Schoenbeck, Ugur Kuter 2023

Licence Creative Commons

Cette œuvre est sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale 4.0 International.