Bumblebees Learn a Relational Rule but Switch to a Win-Stay/Lose-Switch Heuristic After Extensive Training.
abstract concepts
adaptive decision-making
animal cognition
behavioral analyses
cognitive flexibility
cognitive offloading
the law of least effort
Journal
Frontiers in behavioral neuroscience
ISSN: 1662-5153
Titre abrégé: Front Behav Neurosci
Pays: Switzerland
ID NLM: 101477952
Informations de publication
Date de publication:
2020
2020
Historique:
received:
21
05
2020
accepted:
16
07
2020
entrez:
9
9
2020
pubmed:
10
9
2020
medline:
10
9
2020
Statut:
epublish
Résumé
Mapping animal performance in a behavioral task to underlying cognitive mechanisms and strategies is rarely straightforward, since a task may be solvable in more than one manner. Here, we show that bumblebees perform well on a concept-based visual discrimination task but spontaneously switch from a concept-based solution to a simpler heuristic with extended training, all while continually increasing performance. Bumblebees were trained in an arena to find rewards on displays with shapes of different sizes where they could not use low-level visual cues. One group of bees was rewarded at displays with larger shapes and another group at displays with smaller shapes. Analysis of total choices shows bees increased their performance over 30 bouts to above chance. However, analyses of first and sequential choices suggest that after approximately 20 bouts, bumblebees changed to a win-stay/lose-switch strategy. Comparing bees' behavior to a probabilistic model based on a win-stay/lose-switch strategy further supports the idea that bees changed strategies with extensive training. Analyses of unrewarded tests indicate that bumblebees learned and retained the concept of relative size even after they had already switched to a win-stay, lost-shift strategy. We propose that the reason for this strategy switching may be due to cognitive flexibility and efficiency.
Identifiants
pubmed: 32903410
doi: 10.3389/fnbeh.2020.00137
pmc: PMC7434978
doi:
Types de publication
Journal Article
Langues
eng
Pagination
137Subventions
Organisme : European Research Council
ID : 339347
Pays : International
Informations de copyright
Copyright © 2020 MaBouDi, Solvi and Chittka.
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