Markovian Agent Models with Applications

Markovian Agents (MAs) are stochastic entities introduced with the aim of providing a flexible, powerful and scalable technique for modeling complex systems of distributed interacting objects, for which feasible analytical and numerical solution algorithms can be envisaged and implemented. Each object has its own local behaviour that can be modified by the mutual interdependencies with the other objects. MAs are scattered over a geographical area and retain their spatial position so that the local behaviour may be related to the geographical position and the mutual interdependencies may depend on the relative distances and the transmittance characteristics of the interposed medium.