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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 25 / No. 1: Twenty-Fifth AAAI Conference on Artificial Intelligence

Multiagent Patrol Generalized to Complex Environmental Conditions

March 8, 2023

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Authors

Noa Agmon

The University of Texas at Austin


Daniel Urieli

The University of Texas at Austin


Peter Stone

The University of Texas at Austin


DOI:

10.1609/aaai.v25i1.7988


Abstract:

The problem of multiagent patrol has gained considerable attention during the past decade, with the immediate applicability of the problem being one of its main sources of interest. In this paper we concentrate on frequency-based patrol, in which the agents' goal is to optimize a frequency criterion, namely, minimizing the time between visits to a set of interest points. We consider multiagent patrol in environments with complex environmental conditions that affect the cost of traveling from one point to another. For example, in marine environments, the travel time of ships depends on parameters such as wind, water currents, and waves. We demonstrate that in such environments there is a need to consider a new multiagent patrol strategy which divides the given area into parts in which more than one agent is active, for improving frequency. We show that in general graphs this problem is intractable, therefore we focus on simplified (yet realistic) cyclic graphs with possible inner edges. Although the problem remains generally intractable in such graphs, we provide a heuristic algorithm that is shown to significantly improve point-visit frequency compared to other patrol strategies. For evaluation of our work we used a custom developed ship simulator that realistically models ship movement constraints such as engine force and drag and reaction of the ship to environmental changes.

Topics: AAAI

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HOW TO CITE:

Noa Agmon|| Daniel Urieli|| Peter Stone Multiagent Patrol Generalized to Complex Environmental Conditions Proceedings of the AAAI Conference on Artificial Intelligence, 25 (2011) 1090.

Noa Agmon|| Daniel Urieli|| Peter Stone Multiagent Patrol Generalized to Complex Environmental Conditions AAAI 2011, 1090.

Noa Agmon|| Daniel Urieli|| Peter Stone (2011). Multiagent Patrol Generalized to Complex Environmental Conditions. Proceedings of the AAAI Conference on Artificial Intelligence, 25, 1090.

Noa Agmon|| Daniel Urieli|| Peter Stone. Multiagent Patrol Generalized to Complex Environmental Conditions. Proceedings of the AAAI Conference on Artificial Intelligence, 25 2011 p.1090.

Noa Agmon|| Daniel Urieli|| Peter Stone. 2011. Multiagent Patrol Generalized to Complex Environmental Conditions. "Proceedings of the AAAI Conference on Artificial Intelligence, 25". 1090.

Noa Agmon|| Daniel Urieli|| Peter Stone. (2011) "Multiagent Patrol Generalized to Complex Environmental Conditions", Proceedings of the AAAI Conference on Artificial Intelligence, 25, p.1090

Noa Agmon|| Daniel Urieli|| Peter Stone, "Multiagent Patrol Generalized to Complex Environmental Conditions", AAAI, p.1090, 2011.

Noa Agmon|| Daniel Urieli|| Peter Stone. "Multiagent Patrol Generalized to Complex Environmental Conditions". Proceedings of the AAAI Conference on Artificial Intelligence, 25, 2011, p.1090.

Noa Agmon|| Daniel Urieli|| Peter Stone. "Multiagent Patrol Generalized to Complex Environmental Conditions". Proceedings of the AAAI Conference on Artificial Intelligence, 25, (2011): 1090.

Noa Agmon|| Daniel Urieli|| Peter Stone. Multiagent Patrol Generalized to Complex Environmental Conditions. AAAI[Internet]. 2011[cited 2023]; 1090.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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