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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Bibliographic Details
Published in:arXiv.org 2018-07
Main Authors: Brilliantova, Angelina, Pletenev, Anton, Doronina, Liliya, Hosseini, Hadi
Format: Article
Language:English
Subjects:
Agent-based models
Agents (artificial intelligence)
Artificial intelligence
Computer simulation
Empirical analysis
Foxes
Random variables
Online Access:Get full text
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Summary: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.
ISSN:2331-8422