An agent-based model of an endangered population of the Arctic fox from Mednyi Island
Artificial Intelligence techniques such as agent-based modeling and probabilistic reasoning have shown promise in modeling complex biological systems and testing ecological hypotheses through simulation. We develop an agent-based model of Arctic foxes from Medniy Island while utilizing Probabilistic...
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Online Access: | https://dx.doi.org/10.48550/arxiv.1807.06103 https://arxiv.org/abs/1807.06103 |
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ftdatacite:10.48550/arxiv.1807.06103 2023-05-15T14:31:09+02:00 An agent-based model of an endangered population of the Arctic fox from Mednyi Island Brilliantova, Angelina Pletenev, Anton Doronina, Liliya Hosseini, Hadi 2018 https://dx.doi.org/10.48550/arxiv.1807.06103 https://arxiv.org/abs/1807.06103 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Multiagent Systems cs.MA Artificial Intelligence cs.AI Populations and Evolution q-bio.PE FOS Computer and information sciences FOS Biological sciences Preprint Article article CreativeWork 2018 ftdatacite https://doi.org/10.48550/arxiv.1807.06103 2022-04-01T09:16:45Z Artificial Intelligence techniques such as agent-based modeling and probabilistic reasoning have shown promise in modeling complex biological systems and testing ecological hypotheses through simulation. We develop an agent-based model of Arctic foxes from Medniy Island while utilizing Probabilistic Graphical Models to capture the conditional dependencies between the random variables. Such models provide valuable insights in analyzing factors behind catastrophic degradation of this population and in revealing evolutionary mechanisms of its persistence in high-density environment. Using empirical data from studies in Medniy Island, we create a realistic model of Arctic foxes as agents, and study their survival and population dynamics under a variety of conditions. : The AI for Wildlife Conservation (AIWC) Workshop at IJCAI 2018 Report Arctic Fox Arctic DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
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language |
unknown |
topic |
Multiagent Systems cs.MA Artificial Intelligence cs.AI Populations and Evolution q-bio.PE FOS Computer and information sciences FOS Biological sciences |
spellingShingle |
Multiagent Systems cs.MA Artificial Intelligence cs.AI Populations and Evolution q-bio.PE FOS Computer and information sciences FOS Biological sciences Brilliantova, Angelina Pletenev, Anton Doronina, Liliya Hosseini, Hadi An agent-based model of an endangered population of the Arctic fox from Mednyi Island |
topic_facet |
Multiagent Systems cs.MA Artificial Intelligence cs.AI Populations and Evolution q-bio.PE FOS Computer and information sciences FOS Biological sciences |
description |
Artificial Intelligence techniques such as agent-based modeling and probabilistic reasoning have shown promise in modeling complex biological systems and testing ecological hypotheses through simulation. We develop an agent-based model of Arctic foxes from Medniy Island while utilizing Probabilistic Graphical Models to capture the conditional dependencies between the random variables. Such models provide valuable insights in analyzing factors behind catastrophic degradation of this population and in revealing evolutionary mechanisms of its persistence in high-density environment. Using empirical data from studies in Medniy Island, we create a realistic model of Arctic foxes as agents, and study their survival and population dynamics under a variety of conditions. : The AI for Wildlife Conservation (AIWC) Workshop at IJCAI 2018 |
format |
Report |
author |
Brilliantova, Angelina Pletenev, Anton Doronina, Liliya Hosseini, Hadi |
author_facet |
Brilliantova, Angelina Pletenev, Anton Doronina, Liliya Hosseini, Hadi |
author_sort |
Brilliantova, Angelina |
title |
An agent-based model of an endangered population of the Arctic fox from Mednyi Island |
title_short |
An agent-based model of an endangered population of the Arctic fox from Mednyi Island |
title_full |
An agent-based model of an endangered population of the Arctic fox from Mednyi Island |
title_fullStr |
An agent-based model of an endangered population of the Arctic fox from Mednyi Island |
title_full_unstemmed |
An agent-based model of an endangered population of the Arctic fox from Mednyi Island |
title_sort |
agent-based model of an endangered population of the arctic fox from mednyi island |
publisher |
arXiv |
publishDate |
2018 |
url |
https://dx.doi.org/10.48550/arxiv.1807.06103 https://arxiv.org/abs/1807.06103 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Fox Arctic |
genre_facet |
Arctic Fox Arctic |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1807.06103 |
_version_ |
1766304860394749952 |