AGENT-BASED SIMULATION · AGENT EVALUATION
Agent-based Simulation for Agent Evaluation: model agent policies, consistency, tool use and adaptation across repeatable situations, compare scenarios, and inspect persistent state and autonomous-agent behavior in Epic Simulation.
Model many autonomous actors with local rules and inspect system-level outcomes. For agent evaluation, the model focuses on agent policies, consistency, tool use and adaptation across repeatable situations.
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 agent-based simulation to agent policies, consistency, tool use and adaptation across repeatable situations.
agent state, interaction rate, coordination, emergent patterns.
No. A simulation explores modeled possibilities under explicit assumptions; it does not prove what will happen in the real world.