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Combining game theory and the weak noise limit to understand spatio-temporal ecological models of animal movements.


Project Description

The project seeks to bring together two different but complementary fields of mathematics in order to extract further understanding from each.

Background
Locusts and other migrating insects can form cohesive swarms at large population densities, which subsequently travel over huge distances and can have a devastating effect on agriculture. It is therefore important to understand the mechanisms governing how the population decides collectively on the direction of migration and the population density at which this occurs.

There has been much interest recently regarding the modelling of such animal movement. Specifically, as mathematicians we try to express animal interactions mechanistically, with a view to understanding emergent group phenomena, such as swarming and directionality.

Critically, there are multiple ways of understanding such phenomena. Two such ways are through using game theoretic techniques (Vince Knight’s (VK) area of expertise), whilst another is through using agent based modelling and the weak noise limit (Thomas Woolley’s (TW) and Louise Dyson’s (LD) area of expertise). This project seeks to bridge the gap between these two complementary skill sets in order to understand the role of noise in agent based decision making and specify how individual actions can lead to global decision making.

Our initial point of interest is a recent minimal model of collective motion (developed by LD). The model describes density-dependent bistability in population-level decision making. This model demonstrates a kind of bistability that is only present when demographic noise is included. Namely, the randomness in the system does not simply cause transitions between different population states (e.g. individual left movement vs individual right movement) but instead actively constructs new possible population states (globally organised movement).

We seek to use game theoretic approaches (a specific example being the Ohtsuki-Nowak approximation) that will allow us to remove topology from this problem and, thus, lead to a dramatic simplification. This simplification will shed light on the creation of the new states that depend on randomness, thus, generalising the cases in which we would expect noise dependent dynamics to occur. In turn, this will highlight ecological cases were such complexity would be expected to arise.

The project will be co-supervised by Dr Louise Dyson, University of Warwick.

Funding Notes

UK Research Council eligibility conditions apply.
Full awards (fees plus maintenance stipend) are open to UK Nationals and EU students who can satisfy UK residency requirements. To be eligible for the full award, EU Nationals must have been in the UK for at least 3 years prior to the start of the course for which they are seeking funding, including for the purposes of full-time education.

References

Applicants should submit an application for postgraduate study via the Cardiff University Online Application Service.
http://www.cardiff.ac.uk/study/postgraduate/funding/view/epsrc-doctoral-training-partnership-phd-in-mathematics

Applicants should select Doctor of Philosophy (Mathematics) October 2019

In the research proposal section of your application, please specify the project title and supervisors of this project. .

How good is research at Cardiff University in Mathematical Sciences?

FTE Category A staff submitted: 24.05

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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