Fareground uses multi-agent simulations to study real systems before their outcomes are known. We model the actors, information, incentives, and constraints that shape a scenario, then observe what emerges when agents make decisions inside it.
The question is not whether a simulation can produce a plausible story. It is whether its aggregate result contains useful signal about what happens next — and under which conditions that signal is reliable. We compare simulations with observed outcomes and simpler baselines to learn where the method works, where it fails, and how it can improve.
The research record brings together active studies, runnable environments, resolved predictions, and publications as the work develops.