Simulation Agent | AI Agent Types | Agentic Swarm

The Simulation Agent models possible outcomes and tests strategies before execution. It runs scenarios so the swarm can choose the strongest path first.

Why it matters

It lets the system think before it acts. Testing options in simulation is cheaper and safer than learning only in production.

Use cases

• Scenario testing
• Strategy modeling
• Risk forecasting
• Comparing alternative plans

Inputs

• A decision or strategy to test
• Relevant history and constraints
• Scenarios to model
• Success criteria

Outputs

• Modeled outcomes per scenario
• Surfaced risks
• A recommended path
• Inputs for planning

Failure modes

• Models too simple to trust
• Acting on unvalidated simulations
• Simulating instead of acting
• Ignoring results under pressure