Observation-based multi-agent planning with communication
Observation-based multi-agent planning with communication
Models of decentralized online planning vary in the information that individual agents use to make local action decisions. Some models consider only local observations, eschewing coordination through communication. Others use communication to ensure that all agents are aware of the action decisions of others, but assume costless and delay-free communication. In this paper, we propose a model of online planning (OB-MAP) that uses estimates of the value of communicating to manage coordination through communication as costs vary. We compare this approach to existing models in widely employed benchmark problems, demonstrating that OB-MAP performs significantly better in many scenarios regardless of varying (including infinite) cost of communication.
444-452
Gasparini, Luca
15ef6336-0f4e-4acf-8989-c6797c2e6120
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Kollingbaum, Martin J.
015a7895-2e8f-4e21-a2fc-a2fa1fae37df
26 August 2016
Gasparini, Luca
15ef6336-0f4e-4acf-8989-c6797c2e6120
Norman, Timothy
663e522f-807c-4569-9201-dc141c8eb50d
Kollingbaum, Martin J.
015a7895-2e8f-4e21-a2fc-a2fa1fae37df
Gasparini, Luca, Norman, Timothy and Kollingbaum, Martin J.
(2016)
Observation-based multi-agent planning with communication.
In ECAI 2016.
IOS Press.
.
(doi:10.3233/978-1-61499-672-9-444).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Models of decentralized online planning vary in the information that individual agents use to make local action decisions. Some models consider only local observations, eschewing coordination through communication. Others use communication to ensure that all agents are aware of the action decisions of others, but assume costless and delay-free communication. In this paper, we propose a model of online planning (OB-MAP) that uses estimates of the value of communicating to manage coordination through communication as costs vary. We compare this approach to existing models in widely employed benchmark problems, demonstrating that OB-MAP performs significantly better in many scenarios regardless of varying (including infinite) cost of communication.
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FAIA285-0444.pdf
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Published date: 26 August 2016
Venue - Dates:
22nd European Conference on Artificial Intelligence, The Hague, Netherlands, 2016-08-26
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 403235
URI: http://eprints.soton.ac.uk/id/eprint/403235
PURE UUID: 573f6704-4abc-4d7c-8ea6-e8e58ee57192
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Date deposited: 28 Nov 2016 16:46
Last modified: 15 Mar 2024 03:53
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Contributors
Author:
Luca Gasparini
Author:
Martin J. Kollingbaum
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