Interruptions improve choice performance in gray jays: prolonged information processing versus minimization of costly...

Area of Science:

• Behavioral Ecology
• Animal Cognition
• Decision-Making

Background:

• Selection may favor minimizing costly errors, but errors can be common when their fitness cost is low.
• An adaptive-choice model posits that the cost of errors depends on the encounter rate, with higher rates reducing error costs.
• Previous experiments showed gray jays made more errors with shorter delays, a pattern also predicted by attentional constraints.

Purpose of the Study:

• To differentiate between the adaptive-choice model and an attentional-constraints model in explaining error rates in animal decision-making.
• To investigate if prolonged opportunity for information processing during delays influences error rates.
• To test the adaptive-choice model's prediction that errors are more frequent with shorter foraging interruptions.

Main Methods:

• A follow-up experiment manipulated both delay to food access and the ability to inspect rewards during delays.
• Gray jays (Perisoreus canadensis) were subjected to varying delays and reward visibility conditions.
• Error rates were recorded to assess decision-making performance under different experimental manipulations.

Main Results:

• Preventing reward inspection (using opaque lids) caused only a small, nonsignificant increase in error rate, independent of delay length.
• Gray jays' performance improved with longer delays, even when reward inspection was prevented.
• The findings indicate that prolonged information processing was not the primary reason for improved performance with longer delays.

Conclusions:

• The results support the adaptive-choice model, suggesting that error frequency is influenced by the rate of encountering choices rather than solely by attentional constraints.
• The study demonstrates that the cost of errors in decision-making is context-dependent, aligning with evolutionary predictions.
• Gray jay foraging behavior provides evidence for adaptive decision-making strategies under varying ecological pressures.