Flag Game: A Toy Model for Mechanistic Swarm Interpretability
Emergent coordinated behaviors of AI agents are starting to present critical safety risks. A key phenomenon driving these behaviors is the rapid formation and spread of beliefs about the world, and mechanistic understanding is crucial for collective alignment. To this end, we introduce the Flag Game, a toy model for studying the mechanisms of collective belief formation. Concretely, a hidden country flag defines the ground truth, and each bounded agent directly observes only a private crop but can exchange beliefs and weigh social evidence from peers. Despite its simplicity, the Flag Game repr
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 52%Anthropic Exposes the Dark Side of AI Agent Swarms - explainx.substack.com →
- PossiblePossibly related (embedding) · 51%Anthropic Exposes the Dark Side of AI Agent Swarms - Explainx Substack →
- PossiblePossibly related (embedding) · 49%Artificial intelligence agents spontaneously conform to the majority opinion - PsyPost →
- PossiblePossibly related (embedding) · 49%AI agents blew the whistle on their cheating colleagues →
- LinkedLinked via arxiv author · 85%Elizabeth Pavlova →
“Flag Game: A Toy Model for Mechanistic Swarm Interpretability”
- LinkedLinked via arxiv author · 85%Hidenori Tanaka →
“Flag Game: A Toy Model for Mechanistic Swarm Interpretability”