Presented by: 
Kerry Landman (University of Melbourne)
Mon 31 Aug, 2:00 pm - 2:45 pm
Steele Building (03), room 262

While stochastic agent-based models provide information about the movement of individuals, corresponding to cell trajectories, global properties such as the invasiveness of cell populations are important for many applications in biological and physical processes. In recent years there has been much interest in deriving a partial differential equation description from probabilistic rules governing individuals. Mean-field approximations are needed to deal with conditional probabilities. Some of the resulting models are derived and discussed.