Reinforcement Learning Enables Resource Partitioning in Foraging Bats
Every evening, from late spring to mid-summer, tens of thousands of hungry lactating female lesser long-nosed bats (Leptonycteris yerbabuenae) emerge from their roost and navigate over the Sonoran Desert, seeking for nectar and pollen [1, 2]. The bats roost in a huge maternal colony that is far from...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575196/ https://www.ncbi.nlm.nih.gov/pubmed/32822610 http://dx.doi.org/10.1016/j.cub.2020.07.079 |
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author | Goldshtein, Aya Handel, Michal Eitan, Ofri Bonstein, Afrine Shaler, Talia Collet, Simon Greif, Stefan Medellín, Rodrigo A. Emek, Yuval Korman, Amos Yovel, Yossi |
author_facet | Goldshtein, Aya Handel, Michal Eitan, Ofri Bonstein, Afrine Shaler, Talia Collet, Simon Greif, Stefan Medellín, Rodrigo A. Emek, Yuval Korman, Amos Yovel, Yossi |
author_sort | Goldshtein, Aya |
collection | PubMed |
description | Every evening, from late spring to mid-summer, tens of thousands of hungry lactating female lesser long-nosed bats (Leptonycteris yerbabuenae) emerge from their roost and navigate over the Sonoran Desert, seeking for nectar and pollen [1, 2]. The bats roost in a huge maternal colony that is far from the foraging grounds but allows their pups to thermoregulate [3] while the mothers are foraging. Thus, the mothers have to fly tens of kilometers to the foraging sites—fields with thousands of Saguaro cacti [4, 5]. Once at the field, they must compete with many other bats over the same flowering cacti. Several solutions have been suggested for this classical foraging task of exploiting a resource composed of many renewable food sources whose locations are fixed. Some animals randomly visit the food sources [6], and some actively defend a restricted foraging territory [7, 8, 9, 10, 11] or use simple forms of learning, such as “win-stay lose-switch” strategy [12]. Many species have been suggested to follow a trapline, that is, to revisit the food sources in a repeating ordered manner [13, 14, 15, 16, 17, 18, 19, 20, 21, 22]. We thus hypothesized that lesser long-nosed bats would visit cacti in a sequenced manner. Using miniature GPS devices, aerial imaging, and video recordings, we tracked the full movement of the bats and all of their visits to their natural food sources. Based on real data and evolutionary simulations, we argue that the bats use a reinforcement learning strategy that requires minimal memory to create small, non-overlapping cacti-cores and exploit nectar efficiently, without social communication. |
format | Online Article Text |
id | pubmed-7575196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75751962020-10-23 Reinforcement Learning Enables Resource Partitioning in Foraging Bats Goldshtein, Aya Handel, Michal Eitan, Ofri Bonstein, Afrine Shaler, Talia Collet, Simon Greif, Stefan Medellín, Rodrigo A. Emek, Yuval Korman, Amos Yovel, Yossi Curr Biol Report Every evening, from late spring to mid-summer, tens of thousands of hungry lactating female lesser long-nosed bats (Leptonycteris yerbabuenae) emerge from their roost and navigate over the Sonoran Desert, seeking for nectar and pollen [1, 2]. The bats roost in a huge maternal colony that is far from the foraging grounds but allows their pups to thermoregulate [3] while the mothers are foraging. Thus, the mothers have to fly tens of kilometers to the foraging sites—fields with thousands of Saguaro cacti [4, 5]. Once at the field, they must compete with many other bats over the same flowering cacti. Several solutions have been suggested for this classical foraging task of exploiting a resource composed of many renewable food sources whose locations are fixed. Some animals randomly visit the food sources [6], and some actively defend a restricted foraging territory [7, 8, 9, 10, 11] or use simple forms of learning, such as “win-stay lose-switch” strategy [12]. Many species have been suggested to follow a trapline, that is, to revisit the food sources in a repeating ordered manner [13, 14, 15, 16, 17, 18, 19, 20, 21, 22]. We thus hypothesized that lesser long-nosed bats would visit cacti in a sequenced manner. Using miniature GPS devices, aerial imaging, and video recordings, we tracked the full movement of the bats and all of their visits to their natural food sources. Based on real data and evolutionary simulations, we argue that the bats use a reinforcement learning strategy that requires minimal memory to create small, non-overlapping cacti-cores and exploit nectar efficiently, without social communication. Cell Press 2020-10-19 /pmc/articles/PMC7575196/ /pubmed/32822610 http://dx.doi.org/10.1016/j.cub.2020.07.079 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Report Goldshtein, Aya Handel, Michal Eitan, Ofri Bonstein, Afrine Shaler, Talia Collet, Simon Greif, Stefan Medellín, Rodrigo A. Emek, Yuval Korman, Amos Yovel, Yossi Reinforcement Learning Enables Resource Partitioning in Foraging Bats |
title | Reinforcement Learning Enables Resource Partitioning in Foraging Bats |
title_full | Reinforcement Learning Enables Resource Partitioning in Foraging Bats |
title_fullStr | Reinforcement Learning Enables Resource Partitioning in Foraging Bats |
title_full_unstemmed | Reinforcement Learning Enables Resource Partitioning in Foraging Bats |
title_short | Reinforcement Learning Enables Resource Partitioning in Foraging Bats |
title_sort | reinforcement learning enables resource partitioning in foraging bats |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575196/ https://www.ncbi.nlm.nih.gov/pubmed/32822610 http://dx.doi.org/10.1016/j.cub.2020.07.079 |
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