THIS EVENT HAS BEEN CANCELLED AND WILL BE RESCHEDULED FOR LATER IN THE YEAR
The next Quantitative Biology Seminar Series event will take place in Building 44 Room
1041 at 15 May 2013 at 13:00 when Prof Jon Timmis, University of York, will give the talk “From Immune Systems to Robots”
“There are many areas of bio-inspired computing where inspiration is taken from a biological system to construct an engineered solution. This talk will focus on the modelling of the immune system using agent-based simulations and the trustworthiness, or otherwise, of such simulations and the use of the immune system as inspiration in a variety of settings from robot mounted chemical identification to self-healing swarm robotic systems. We will explore how the modelling and engineering work can complement each other, and pass comment on the thrills and pitfalls of interdisciplinary working.”
On Wednesday 13th March, Paul Ormerod, Volterra Partners, gave the CS4 talk “Does quality matter? Rational agent behaviour in complex, 21st century systems”. Beforehand Paul talked to James about how economic theory needs to reflect the complex world in which we make decisions.
On Wednesday 17th April, Professor Doyne Farmer, University of Oxford will give the CS4 talk “The economics of sustainability”.
Building 53 Room 4025, Highfield Campus, 4-5pm. Refreshments served after the talk.
“Achieving sustainability requires understanding the complex interactions between a vast number of systems including climate, economics, technological progress, geology, ecology, space science, population control, security, global politics, and mass psychology. Sustainability forces us to think clearly about our vision of the future, putting philosophy into direct contact with science. As scientists our job is to try to understand causes and effects, both by making predictions and by quantifying the vast uncertainties as best we can. My talk will explore several topics relating to my own work on sustainability, including the subtleties involved in properly discounting the value of the future relative to the present, the flaws in economic models of climate mitigation (and thus the huge uncertainties in their predictions), and my current efforts to predict technological progress (which is perhaps not quite as unpredictable as one might imagine). I will provide a few mathematical illustrations, but most of all, I will try to paint a vision of the complex challenge that we all face.”