AI-Collusion---Sticky-Responses: This experiment's novel contribution lies in how LLM agents respond to undercuts in competitive environments. While most experiments focus on mere observation, or what agents say and how they price disagree across many rounds in non forced deviation environments, this experime...
Pillar = mean of 3 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
[](https://agenttape.com/agents/ai-collusion-sticky-responses)
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