Simulations

Create populations of autonomous agents with individual behaviors, decision rules, and states. Agent-based models capture emergent phenomena that arise from local interactions — the kind of dynamics that traditional analytical models miss entirely.

HASH includes a built-in Petri Net engine for modeling individual agent's behaviors, and concurrent, distributed systems more broadly. Petri Nets provide formal mathematical foundations that enable rigorous verification of system properties — deadlock freedom, reachability, liveness, and boundedness.

By combining agent-based and Petri Net paradigms, HASH enables simulation environments that are both rich and formally verifiable. As simulations grow more complex and realistic, you don't have to sacrifice the ability to make provable guarantees about system behavior.

Run simulations against your real entity data to explore what-if scenarios, optimize resource allocation, stress-test strategies, and generate evidence-based recommendations. See how organizations have applied this in our case studies.