Social interactions drive efficient foraging and income equality in groups of fish.
The social interactions underlying group foraging and their benefits have been mostly studied using mechanistic models replicating qualitative features of group behavior, and focused on a single resource or a few clustered ones. Here, we tracked groups of freely foraging adult zebrafish with spatially dispersed food items and found that fish perform stereotypical maneuvers when consuming food, which attract neighboring fish. We then present a mathematical model, based on inferred functional interactions between fish, which accurately describes individual and group foraging of real fish. We show that these interactions allow fish to combine individual and social information to achieve near-optimal foraging efficiency and promote income equality within groups. We further show that the interactions that would maximize efficiency in these social foraging models depend on group size, but not on food distribution, and hypothesize that fish may adaptively pick the subgroup of neighbors they 'listen to' to determine their own behavior.
['Harpaz|Roy|R|0000-0001-9587-3389', 'Schneidman|Elad|E|0000-0001-8653-9848']
D000818:Animals D005247:Feeding Behavior D005260:Female D008297:Male D000073276:Models, Spatial Interaction D012919:Social Behavior D013037:Spatial Behavior D015027:Zebrafish
social interactions zebrafish social foraging behavioral modeling collective behavior computational biology information processing physics of living systems systems biology