Agent based modelling was first developed in the 1970s, but its adoption as a technique has been constrained by significant challenges:
Harnessing multiple data sets
Validating computationally intensive models
Exploring their large parameter spaces efficiently
Our journey started ten years ago with simple conceptual models of a few hundred agents using very limited agent rule sets and no data.
Data ingestion, verification, storage, version management
Development, run-at-scale, verification and validation, evaluation and comparison, cataloguing and documentation
Model exploration, reporting & visualisation