DECISION SIMULATION · AI SAFETY
Decision Simulation for AI Safety: model bounded agent behavior, failure modes and interactions under explicit constraints, compare scenarios, and inspect persistent state and autonomous-agent behavior in Epic Simulation.
Compare options under explicit assumptions and observe downstream consequences of different choices. For ai safety, the model focuses on bounded agent behavior, failure modes and interactions under explicit constraints.
Start with explicit assumptions, change one or more conditions, preserve state history, and compare why trajectories diverge.
Also inspect agent choices, resource changes, constraints, feedback loops and second-order effects.
A simulation is a model of possibilities, not a guarantee or proof of a real-world outcome.
It applies decision simulation to bounded agent behavior, failure modes and interactions under explicit constraints.
branching outcomes, assumption sensitivity, agent responses, second-order effects.
No. A simulation explores modeled possibilities under explicit assumptions; it does not prove what will happen in the real world.