Modeling navigation by weaver ants in an unfamiliar, featureless environment

Autor:	Theerawee Thiwatwaranikul, Sukrit Suksombat, Panyaphong Paisanpan, M. F. Smith
Rok vydání:	2020
Předmět:	biology Computer science Multivariate random variable Small number Time step biology.organism_classification 01 natural sciences Oecophylla smaragdina Motion (physics) 010305 fluids & plasmas 0103 physical sciences Probability distribution Statistical physics 010306 general physics Brownian motion
Zdroj:	Physical Review E. 101
ISSN:	2470-0053 2470-0045
DOI:	10.1103/physreve.101.052404
Popis:	The motion of individual weaver ants from Oecophylla smaragdina was tracked within a small arena to study the algorithm that these ants use for navigation. The arena, a floor tile, was either clean or partly covered by a mild chemical repellent. Statistical properties of the observed motion of the ant can be described by a model that is analogous to the Langevin theory of the motion of Brownian particles. With each time step, the velocity of the ant changes by a random vector with a robust probability distribution. When the average ant encounters the chemical repellent it responds, like a particle seeing a potential energy barrier, by initially slowing before recovering towards its equilibrium state of motion. The model accounts for most qualitative properties of motion with a small number of parameters.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b47d79377fdccd691773151e90015c0e https://doi.org/10.1103/physreve.101.052404 Zobrazit plný text záznamu