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Scenario Search & Adversarial Exploration ​

Most systems do not fail randomly.

They fail in specific, rare configurations.

The challenge is not only to simulate outcomes — but to find the scenarios where failure happens.

The Pattern ​

Scenario Search explores a space of possible inputs and system states.

Instead of sampling blindly, it:

  • mutates inputs
  • evaluates outcomes
  • ranks scenarios
  • searches toward failure

Execution Shape ​

text
initial inputs
    ↓
adapter (system definition)
    ↓
search@1 (scenario generation + mutation)
    ↓
mc@1 (evaluation of candidate scenarios)
    ↓
ranking / selection
    ↓
artifacts + replay

Primitive Composition ​

  • search@1 — explores scenario space
  • mc@1 — evaluates candidate outcomes
  • ensemble@1 (optional) — stabilizes results

What Gets Computed ​

Forge does not compute:

  • random scenarios

Forge computes:

  • failure scenarios
  • edge-case clusters
  • adversarial configurations
  • minimal failure conditions

Output Artifacts ​

text
ranked_failure_scenarios
edge_case_clusters
failure_probability_surface
scenario_minimum_conditions
adversarial_paths
replay_token

Why It Matters ​

Most critical failures are:

  • rare
  • hard to enumerate
  • invisible to random sampling

Scenario Search makes them discoverable.

Why Forge ​

Forge enables:

  • large-scale scenario exploration
  • directed search across uncertainty
  • reproducible failure discovery