A simple threshold rule is sufficient to explain sophisticated collective decision-making

Area of Science:

• Animal behavior
• Collective decision-making
• Ecology

Background:

• Social animals make group decisions for survival and reproduction.
• Individual decision strategies range from complex comparisons to simple heuristics.
• Understanding individual roles in collective choice is crucial.

Purpose of the Study:

• To investigate the decision-making strategy of house-hunting ants (Temnothorax albipennis).
• To test whether a simple quality-dependent threshold rule explains collective nest selection.
• To differentiate between simple threshold rules and complex comparison strategies in ants.

Main Methods:

• Analytical and simulation modeling of ant decision-making.
• Analysis of empirical data from three studies on collective decision-making in ants.
• Evaluation of the 'best-of-n' comparison versus a simple threshold rule.

Main Results:

• A simple quality-dependent threshold rule adequately explains observed collective decision-making patterns in ants.
• This simple rule parsimoniously accounts for apparent individual comparisons and recruitment latency.
• Empirical data suggest individual ants do not use 'best-of-n' comparison, though sequential comparisons are possible.

Conclusions:

• A simple threshold rule is sufficient for effective collective decision-making in ants.
• Complex individual comparisons may not be necessary for rational group choices.
• This parsimonious mechanism highlights the efficiency of simple rules in promoting collective rationality.