An agent-based model (ABM) (also sometimes related to the term multi-agent system or multi-agent simulation) is a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness. ABMs are also called individual-based models.

State of Development Please Select

Development Contact


Spatial Resolutions Unknown
Spatial Extents Local (i.e. Catchment or District)
Spatial Dimensions Unknown
Temporal Resolutions Unknown
Temporal Extents Unknown
Steady State or Dynamic Unknown

Input & Output Data

Input Data Formats XLS(X)


Open/Closed Source Please Select

User Information

Operating Systems Unknown
Software Needed Unknown
User Interface Please Select
Ease of Use Please Select

Technical Considerations

Analytical Techniques Input/output

Associated Case Studies