Bumblebees Learn a Relational Rule but Switch to a Win-Stay/Lose-Switch Heuristic After Extensive Training

MaBouDi, HaDi and Solvi, Cwyn and Chittka, Lars (2020) Bumblebees Learn a Relational Rule but Switch to a Win-Stay/Lose-Switch Heuristic After Extensive Training. Frontiers in Behavioral Neuroscience, 14. ISSN 1662-5153

[thumbnail of pubmed-zip/versions/1/package-entries/fnbeh-14-00137/fnbeh-14-00137.pdf] Text
pubmed-zip/versions/1/package-entries/fnbeh-14-00137/fnbeh-14-00137.pdf - Published Version

Download (1MB)

Abstract

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.

Item Type: Article
Subjects: Apsci Archives > Biological Science
Depositing User: Unnamed user with email support@apsciarchives.com
Date Deposited: 11 Feb 2023 06:47
Last Modified: 03 Jan 2024 06:49
URI: http://eprints.go2submission.com/id/eprint/102

Actions (login required)

View Item
View Item