Agent-based modelling is a recent approach introduced in Computational Biology, where a biological system is modelled as a set of interacting autonomous agents.
The term "agent" is used to indicate an entity, with a theoretical but also software meaning, which is characterised by autonomy, learning capabilities and ability to interact with other agents and its environment. It can have a state and spatial, temporal or functional attributes.
An ABM is therefore a model composed by discrete, interacting and heterogeneuos entities, which give rise to an higher-level whole with a much more complex behaviour then those of each component. The aim of the work is: Modelling the embryogenesis of zebrafish
Modelling stem cells
Modelling CML disease
The term "agent" is used to indicate an entity, with a theoretical but also software meaning, which is characterised by autonomy, learning capabilities and ability to interact with other agents and its environment. It can have a state and spatial, temporal or functional attributes.
An ABM is therefore a model composed by discrete, interacting and heterogeneuos entities, which give rise to an higher-level whole with a much more complex behaviour then those of each component. The aim of the work is:
