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Sequential Decision-Making in Ants and Implications to the Evidence Accumulation Decision Model

Abstract : Cooperative transport of large food loads by Paratrechina longicornis ants demands repeated decision-making. Inspired by the Evidence Accumulation (EA) model classically used to describe decision-making in the brain, we conducted a binary choice experiment where carrying ants rely on social information to choose between two paths. We found that the carried load performs a biased random walk that continuously alternates between the two options. We show that this motion constitutes a physical realization of the abstract EA model and exhibits an emergent version of the psychophysical Weber’s law. In contrast to the EA model, we found that the load’s random step size is not fixed but, rather, varies with both evidence and circumstances. Using theoretical modeling we show that variable step size expands the scope of the EA model from isolated to sequential decisions. We hypothesize that this phenomenon may also be relevant in neuronal circuits that perform sequential decisions.
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https://hal.inria.fr/hal-03371954
Contributor : Amos Korman Connect in order to contact the contributor
Submitted on : Monday, October 11, 2021 - 6:32:46 PM
Last modification on : Tuesday, September 6, 2022 - 1:27:19 PM
Long-term archiving on: : Wednesday, January 12, 2022 - 8:42:44 PM

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Oran Ayalon, Yigal Sternklar, Ehud Fonio, Amos Korman, Nir Gov, et al.. Sequential Decision-Making in Ants and Implications to the Evidence Accumulation Decision Model. Frontiers in Applied Mathematics and Statistics, 2021, 7, ⟨10.3389/fams.2021.672773⟩. ⟨hal-03371954⟩

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