SOURCE-LINKED INTELLIGENCE
How does Adversarial Influence Scale in Multi-Agent Systems?
Multi-agent deliberation can improve performance, but what happens when some agents do not act in good faith? In practice, an agent may be deceptive and work to subvert the group, whether through its own objectives or external instruction. We study how susceptibility to deception scales as groups increase in size and deceivers become more prevalent. It is not the number of agents in the group that matters, but the proportion of deceivers. We observe that the defection rate, how often initially correct agents switch to an incorrect final answer, rises linearly with this proportion. Whereas huma
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-24T16:02:40.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.