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Information transmission in collectively moving agents.

Lead Research Organisation: University of Bristol
Department Name: Engineering Mathematics and Technology

Abstract

Information may be any internal degree of freedom, such as
disease status, knowledge, etc.. In fact the collectively moving
agents can be foraging territorial animals or surveying robots
searching for some targets.

Encounter and coverage statistics are essential to understand
when information is optimal (robots) or when it should be
minimized (disease spread)

What is the role of movement statistics, e.g. drift or correlated
random walker, of the individuals on the efficiency of
information transfer? And what happens if the space that agents
share is not the same, eg. territorial robots and animals with
partially overlapping territories?

We will use the new analytic results on random walk propagators
confined in finite domains to tackle the pairwise interaction
scenarios. And from those results it will be possible to
interpret the outcome of the collective movement models, either
animals or robots.

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509619/1 30/09/2016 29/09/2021
2123342 Studentship EP/N509619/1 30/09/2018 30/03/2022 Seeralan Sarvaharman
EP/R513179/1 30/09/2018 29/09/2023
2123342 Studentship EP/R513179/1 30/09/2018 30/03/2022 Seeralan Sarvaharman