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Flag Game: A Toy Model for Mechanistic Swarm Interpretability

Paper recorded by Signals 4 on 2026-09-16 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-16 on arXiv · recorded by Signals 4 on 2026-09-17

Category: cs.AI · 人工智能 · first seen 2026-09-17

Abstract

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 count

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#26 most recent of 300 cs.AI papers we have recorded · ↑ newer: Affora: A Design System for Agent-Friendly Interfaces · ↓ older: rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Mo
Cite this page: Flag Game: A Toy Model for Mechanistic Swarm Interpretability: the #26 most recent of 300 cs.AI papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/flag-game-a-toy-model-for-mechanistic-swarm-interpretability.html
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