Metabolism-based behaviours can improve evolvability Event as iCalendar

(Biodiversity and Biosecurity, Biological Sciences, Computer Science, Department of Statistics, Mathematics, Seminars)

13 February 2017

1 - 2pm

Venue: Mac 1, Biology Building

Location: 5 Symonds Street, City Campus

Host: School of Biological Sciences

Cost: Free - all welcome

Contact info: For further informaiton, contact Dr Kristal Cain

Contact email:

Metabolism-based behaviours can improve evolvability

Dr Matthew Egbert, Department of Computer Science

Organism behaviour is often seen as an exteroceptive response to the environment, but some behaviour is an interoceptive response to internal metabolic dynamics. Using computational and mathematical models, Dr Matthew Egbert will argue that this latter form of behaviour allows organisms to automatically adapt to mutations and other events that change how they operate, thus making them more robust and more evolvable.  

If time allows, Dr Egbert will connect these ideas to studies into the role of behaviour in the origin of life, where non-biological systems (dissipative structures) have been observed to demonstrate surprising forms of what might be called “self-preserving” or even “metabolism-based” behaviours.​