Resource Sharing for Control of Wildland Fires
Wildland fires (or wildfires) occur on all continents except for Antarctica. These fires threaten communities, change ecosystems, destroy vast quantities of natural resources and the cost estimates of the damage done annually is in the billions of dollars. Controlling wildland fires is resource-inte...
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ftjaaai:oai:ojs.aaai.org:article/8483 2023-05-15T14:01:00+02:00 Resource Sharing for Control of Wildland Fires Tsang, Alan Larson, Kate McAlpine, Rob 2013-06-29 application/pdf https://ojs.aaai.org/index.php/AAAI/article/view/8483 https://doi.org/10.1609/aaai.v27i1.8483 eng eng Association for the Advancement of Artificial Intelligence https://ojs.aaai.org/index.php/AAAI/article/view/8483/8342 https://ojs.aaai.org/index.php/AAAI/article/view/8483 doi:10.1609/aaai.v27i1.8483 Copyright (c) 2021 Proceedings of the AAAI Conference on Artificial Intelligence Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 27 No. 1 (2013): Twenty-Seventh AAAI Conference on Artificial Intelligence; 1355-1361 2374-3468 2159-5399 Wildland Fire Resource Allocation Multiagent Systems info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2013 ftjaaai https://doi.org/10.1609/aaai.v27i1.8483 2022-07-02T23:30:45Z Wildland fires (or wildfires) occur on all continents except for Antarctica. These fires threaten communities, change ecosystems, destroy vast quantities of natural resources and the cost estimates of the damage done annually is in the billions of dollars. Controlling wildland fires is resource-intensive and there are numerous examples where the resource demand has outstripped resource availability. Trends in changing climates, fire occurrence and the expansion of the wildland-urban interface all point to increased resource shortages in the future. One approach for coping with these shortages has been the sharing of resources across different wildland-fire agencies. This introduces new issues as agencies have to balance their own needs and risk-management with their desire to help fellow agencies in need. Using ideas from the field of multiagent systems, we conduct the first analysis of strategic issues arising in resource-sharing for wildland-fire control. We also argue that the wildland-fire domain has numerous features that make it attractive to researchers in artificial intelligence and computational sustainability. Article in Journal/Newspaper Antarc* Antarctica AAAI Publications (Association for the Advancement of Artificial Intelligence) Proceedings of the AAAI Conference on Artificial Intelligence 27 1 1355 1361 |
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Open Polar |
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AAAI Publications (Association for the Advancement of Artificial Intelligence) |
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ftjaaai |
language |
English |
topic |
Wildland Fire Resource Allocation Multiagent Systems |
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Wildland Fire Resource Allocation Multiagent Systems Tsang, Alan Larson, Kate McAlpine, Rob Resource Sharing for Control of Wildland Fires |
topic_facet |
Wildland Fire Resource Allocation Multiagent Systems |
description |
Wildland fires (or wildfires) occur on all continents except for Antarctica. These fires threaten communities, change ecosystems, destroy vast quantities of natural resources and the cost estimates of the damage done annually is in the billions of dollars. Controlling wildland fires is resource-intensive and there are numerous examples where the resource demand has outstripped resource availability. Trends in changing climates, fire occurrence and the expansion of the wildland-urban interface all point to increased resource shortages in the future. One approach for coping with these shortages has been the sharing of resources across different wildland-fire agencies. This introduces new issues as agencies have to balance their own needs and risk-management with their desire to help fellow agencies in need. Using ideas from the field of multiagent systems, we conduct the first analysis of strategic issues arising in resource-sharing for wildland-fire control. We also argue that the wildland-fire domain has numerous features that make it attractive to researchers in artificial intelligence and computational sustainability. |
format |
Article in Journal/Newspaper |
author |
Tsang, Alan Larson, Kate McAlpine, Rob |
author_facet |
Tsang, Alan Larson, Kate McAlpine, Rob |
author_sort |
Tsang, Alan |
title |
Resource Sharing for Control of Wildland Fires |
title_short |
Resource Sharing for Control of Wildland Fires |
title_full |
Resource Sharing for Control of Wildland Fires |
title_fullStr |
Resource Sharing for Control of Wildland Fires |
title_full_unstemmed |
Resource Sharing for Control of Wildland Fires |
title_sort |
resource sharing for control of wildland fires |
publisher |
Association for the Advancement of Artificial Intelligence |
publishDate |
2013 |
url |
https://ojs.aaai.org/index.php/AAAI/article/view/8483 https://doi.org/10.1609/aaai.v27i1.8483 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 27 No. 1 (2013): Twenty-Seventh AAAI Conference on Artificial Intelligence; 1355-1361 2374-3468 2159-5399 |
op_relation |
https://ojs.aaai.org/index.php/AAAI/article/view/8483/8342 https://ojs.aaai.org/index.php/AAAI/article/view/8483 doi:10.1609/aaai.v27i1.8483 |
op_rights |
Copyright (c) 2021 Proceedings of the AAAI Conference on Artificial Intelligence |
op_doi |
https://doi.org/10.1609/aaai.v27i1.8483 |
container_title |
Proceedings of the AAAI Conference on Artificial Intelligence |
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27 |
container_issue |
1 |
container_start_page |
1355 |
op_container_end_page |
1361 |
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1766270397348577280 |