On modeling Maze solving ability of slime mold via a hyperbolic model of chemotaxis
Numerical Analysis
2016-01-07 v1
Abstract
Many studies have shown that Physarum polycephalum slime mold is able to find the shortest path in a maze. In this paper we study this behavior in a network, using a hyperbolic model of chemotaxis. Suitable transmission and boundary conditions at each node are considered to mimic the behavior of such an organism in the feeding process. Several numerical tests are presented for special network geometries to show the qualitative agreement between our model and the observed behavior of the mold.
Cite
@article{arxiv.1601.01137,
title = {On modeling Maze solving ability of slime mold via a hyperbolic model of chemotaxis},
author = {Gabriella Bretti and Roberto Natalini},
journal= {arXiv preprint arXiv:1601.01137},
year = {2016}
}
Comments
28 pages, 33 figures. arXiv admin note: text overlap with arXiv:1206.2911