New study with my talented postdoc Lisa Blum Moyse. We develop a mathematical model of how social hierarchy shapes foraging decisions. Social hierarchy can be modeled as a group of agents, leaders and followers, interacting in a variety of ways @cbehav.bsky.social @mpi-animalbehav.bsky.social - ThreadSky

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zamakany.bsky.social • 71 days ago

New study with my talented postdoc Lisa Blum Moyse. We develop a mathematical model of how social hierarchy shapes foraging decisions. Social hierarchy can be modeled as a group of agents, leaders and followers, interacting in a variety of ways @cbehav.bsky.social @mpi-animalbehav.bsky.social

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zamakany.bsky.social•71 days ago

We extended our modeling framework in egalitarian groups (https://www.biorxiv.org/content/10.1101/2024.12.03.626550v1) . We computed distributions of patch leaving times P^1(t) (below, Left) and fraction of agents Q^1(t) (below , Right) in patch 1. The distributions show damped oscillations converging to an equilibrium state.

zamakany.bsky.social•71 days ago

We found that being a following individual can be beneficial (i.e. increase accuracy) when agents count how many leaders are in their patch (counting coupling) or observe leader arrivals in their patch (arrival pulsatile coupling).

zamakany.bsky.social•71 days ago

We found that although misinformation from leading individuals is detrimental to the following group, other positive effects can emerge, such as greater cohesion.

zamakany.bsky.social•71 days ago

Our study suggests that although a widely used
metric in foraging studies is patch residence time (a key
variable in the Marginal Value Theorem ) accuracy of inferring patch quality and group cohesion may be of critical importance to characterize group patch foraging dynamics .

zamakany.bsky.social•71 days ago

For more extended exposition and other cases, you can read the full details here: https://arxiv.org/abs/2503.02794

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