On the trajectories and performance of Infotaxis, an information-based greedy search algorithm
Biological Physics
2011-09-19 v2 Disordered Systems and Neural Networks
Quantitative Methods
Abstract
We present a continuous-space version of Infotaxis, a search algorithm where a searcher greedily moves to maximize the gain in information about the position of the target to be found. Using a combination of analytical and numerical tools we study the nature of the trajectories in two and three dimensions. The probability that the search is successful and the running time of the search are estimated. A possible extension to non-greedy search is suggested.
Cite
@article{arxiv.1010.2728,
title = {On the trajectories and performance of Infotaxis, an information-based greedy search algorithm},
author = {Carlo Barbieri and Simona Cocco and Rémi Monasson},
journal= {arXiv preprint arXiv:1010.2728},
year = {2011}
}
Comments
6 pages, 7 figures, accepted for publication in EPL