The dynamics of complex physical or biophysical phenomena involving many agents, including proteins or cells – which can be seen as active agents – can be represented efficiently either by explicitly considering the behaviour of each particle individually (e.g. through branching trees and piecewise deterministic Markov processes – PDMPs -, or stochastic differential equations) or by Partial Differential Equations (PDEs) which, under certain hypotheses, represent local averages over a sufficiently large number of agents (cells, proteins).
Biology and medicine presently face the difficulty to make sense out of the data newly available by means of recent signal acquisition methods. Modelling through agent-based or continuous models is a unique way to explain (model) the mechanisms underlying observations and then compute, predict and control the biological phenomena at stake. These are the goals and dreams of MAMBA.
