The two-nest ants process on triangle-series-parallel graphs

Fuente: arXiv
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Autores principales: Mailler, Cécile, Varin, Zoé
Formato: Preprint
Publicado: 2026
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author Mailler, Cécile
Varin, Zoé
author_facet Mailler, Cécile
Varin, Zoé
contents The ants process is a stochastic process introduced by Kious, Mailler and Schapira as a model for the phenomenon of ants finding shortest paths between their nest and a source of food (seen as two marked nodes in a finite graph), with no other means of communications besides the pheromones they lay behind them as they explore their environment. The ants process relies on a reinforcement learning mechanism. In this paper, we modify the ants process by having more than one ants nest (and still one source of food). For technical reasons, we restrict ourselves to the case when there are two nests, and when the graph is a triangle between the two nests and the source of food, whose edges have been replaced by series-parallel graphs. In this setting, using stochastic approximation techniques, comparison with Pólya urns, and combinatorial arguments, we are able to prove that the ants process converges and to describe its limit.
format Preprint
id arxiv_https___arxiv_org_abs_2601_22855
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The two-nest ants process on triangle-series-parallel graphs
Mailler, Cécile
Varin, Zoé
Probability
Combinatorics
60K35, 05C81, 62L20
The ants process is a stochastic process introduced by Kious, Mailler and Schapira as a model for the phenomenon of ants finding shortest paths between their nest and a source of food (seen as two marked nodes in a finite graph), with no other means of communications besides the pheromones they lay behind them as they explore their environment. The ants process relies on a reinforcement learning mechanism. In this paper, we modify the ants process by having more than one ants nest (and still one source of food). For technical reasons, we restrict ourselves to the case when there are two nests, and when the graph is a triangle between the two nests and the source of food, whose edges have been replaced by series-parallel graphs. In this setting, using stochastic approximation techniques, comparison with Pólya urns, and combinatorial arguments, we are able to prove that the ants process converges and to describe its limit.
title The two-nest ants process on triangle-series-parallel graphs
topic Probability
Combinatorics
60K35, 05C81, 62L20
url https://arxiv.org/abs/2601.22855