  We study the performance of infotaxis search strategy measured by the rate of
success and mean search time, under changes in the environment parameters such
as diffusivity, rate of emission or wind velocity. We also investigate the drop
of performance caused by an innacurate modelling of the environment. Our
findings show that infotaxis remains robust as long as the estimated parameters
fall within a certain range around their true values, but the success rate
quickly drops making infotaxis no longer feasible if the searcher agent
severely underestimates or overestimates the real environment parameters. This
study places some limits on the performance of infotaxis, and thus it has
practical consequences for the design of infotaxis based machines to track and
detect an emitting source of chemicals or volatile substances.

Emerging Technologies;Statistical Mechanics