Never Gonna Give You Up Even When It Is Suboptimal

Published on July 25, 2023

Just like a dedicated marathon runner who never gives up, humans seem to have a similar mindset when it comes to foraging strategies. While animals are known to adapt their foraging techniques based on the environment, humans tend to stick to one strategy regardless of the circumstances. This study explores why humans display this steadfast behavior and investigates if they would change tactics when there’s a significant performance difference between strategies. The researchers conducted two foraging experiments and discovered that most participants consistently utilized the Give-Up Time (GUT) strategy, even when alternatives like the Fixed-Time or Fixed-Number strategies were more efficient in specific environments. Through computer simulations, they further analyzed the GUT strategy’s performance compared to others and found that although it may not always be the top choice, it consistently delivered a satisfactory outcome. Interestingly, the GUT strategy excelled when variability in patch quality was introduced. This consistent success could explain why participants were reluctant to switch strategies. To delve deeper into these fascinating findings, check out the full article!

Abstract
Previous research showed that animals adopt different foraging strategies in different environment settings. However, research on whether humans adapt their foraging strategies to the foraging environment has shown little evidence of a change in strategies. This study aims to investigate whether humans will adapt their foraging strategies when performance differences between strategies are large and why participants may fixate on a single strategy. We conducted two foraging experiments and identified the strategies used by the participants. Most participants used the Give-Up Time (GUT) strategy regardless of the environment they encountered. GUT was used even in environments where other strategies such as the Fixed-Time strategy or the Fixed-Number strategy performed better. Using computer simulations, we further examined the conditions under which the GUT strategy will perform well compared to the other strategies. We found that even though the GUT strategy is not always the best strategy, it performs consistently on a satisfactory level and had an advantage when variance in the quality of patches was introduced. The consistently good performance of the GUT strategy could thus explain participants’ lack of strategy switching.

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