2024/05/06 by Celani, Antonio, Panizon, Emanuele · 1 citation
#Biological Physics (physics.bio-ph) #FOS: Physical sciences
paper · doi:10.48550/arxiv.2405.03374
The task of olfactory search is ubiquitous in nature and in technology, from animals in the quest of food or of a mating partner, to robots searching for the source of hazardous fumes in a chemical plant. Here, we focus on the algorithmic approach to this task: we systematically review the different olfactory search strategies. Special emphasis is given to the formal description as a Partially Observable Markov Decision Processes, which allows the computation of optimal actions and helps clarifying the relationships between several effective heuristic search strategies.