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Stigmergy ablation

Method: In-tree honest proxies — not upstream Govcraft LLM meeting-scheduling (48.5% paper benchmark).

Summary

BenchStigmergyRandom / baselineNotes
Chain dispatch (stigmergy_ablation)5/5 zones0/5 zonesDependency wake via pheromone deposits
Gridworld success rate (8 runs)100%100%Both configs reach target; chain dispatch is the discriminant
Govcraft proxy (govcraft_acceptance)41.7% booking rate8.3% booking rateDiscrete slot scheduling with PheromoneField
Upstream GovcraftRequires API keys / Ollama; not bundled in-tree

Raw JSON (CI reproduce)

{"stigmergy_chain_completed":5,"random_chain_completed":0,"stigmergy_success_rate":1.0,"random_success_rate":1.0}
{"bench":"govcraft_acceptance","mode":"in_tree_honest_equivalent","stigmergy_bookings":200,"random_bookings":40,"stigmergy_rate":0.4166666666666667,"random_rate":0.08333333333333333}

Honest labeling

  • In-tree proxy: benches/govcraft_acceptance and benches/stigmergy_ablation use PheromoneField + scheduler semantics shaped after Govcraft pressure-field-experiment.
  • Not reproduced: LLM agent meeting scheduling at 48.5% vs 12.6% conversation baseline from the January 2026 paper.
  • CI: Both benches run in ./scripts/verify.sh on every PR.

Reproduce

cargo run -q -p stigmergy_ablation
cargo run -q -p govcraft_acceptance
bash docs/demo/run-ablation.sh
./scripts/verify.sh