Agent based modelling ABM
Agent-based models are stochastic or probability-based computer simulations built up from individual or autonomous agents which are assigned certain attributes, patterns or commands.
These types of models are used to study the interactions between people, things, places, and time. In the case of buildings they are often used to model movement patterns of occupants for example in fire situations or in the management of lifts and escalators. In cities that may be used to model traffic patterns. Agent based models are also used in business and finance, in biology and epidemiology, in the social sciences and the study of behaviour as well as water management.
At the simplest level, agent-based models consist of a system of agents and the relationships between them. Simple models can however develop complex behaviour patterns. More complex models may allow agents the capability of evolving, introducing more unpredictable behaviours. Sophisticated models might then incorporate learning capabilities allowing agents to adapt with evolutionary algorithms, neural networks and artificial intelligence.
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