Delegated Influence

A competitive multi-agent benchmark for LLM persuasion: the only way to score is to get other agents to spend their scarce actions on you.

135701a · generated 2026-07-07 · 476 episodes · private draft — not for citation

Experiment

B Attack Intents

Experiment 13b โ€” declared intents attached to the ATTACK setup: the per-decision persuasion measure where the wedge already showed capture. Same three models as 04, vs the glm crowd. Expectation: the plan-departure gap (toward messagers minus others) turns POSITIVE for the models whose talk gain was real (gpt-5.5, qwen); exp 13 showed it ~zero in polite play. Caveats as exp 13: persuaded-vs-good-proposal unidentifiable; cross-round leak; reactivity checked against exp 04.

status
planned
coverage
0 / 60 episodes
conditions
complete topology; pure economy; messages on
config
configs/13b_attack_intents.yaml

Planned โ€” 60 episodes from 13b_attack_intents.yaml.

image/svg+xml Matplotlib v3.11.0, https://matplotlib.org/ P L A N N E D 60 episodes ยท 13b_attack_intents.yaml

Episodes

No episodes yet — launch with:

uv run python -m delegated_influence.run configs/13b_attack_intents.yaml