Agent-based modelling (ABM) is a simulation technique where complex emergent behaviour can be predicted as a result of local interactions between individual virtual entities or “software agents” and their environment. It relies on modelling the essential components of the system and how these components interact with each other. The interaction of these components together defines the behaviour of the whole system. This modelling approach highlights the low-level roles, which are critical contributors to system behaviour. The ABM approach has been successfully used in different fields such as ecology, economics and cell biology to explain and show how low-level interactions play an important role in the emergence of behaviour at the system level. In biology, at the macro-system level, ABM had shed light on ants foraging behaviour. At the cellular level, ABM was used to model T-cells activation in lymph nodes and epidermis wound-healing and self-organisation. The Epithelome project had illustrated the role (TGF-beta) in wound healing and illustrated that self-organisation of keratinocytes depended on cell-cell interaction and cell-substrate interaction.
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