How does group pressure drive consensus in opinion dynamics?
Coalescing Force of Group Pressure: Consensus in Nonlinear Opinion Dynamics
October 8, 2024
https://arxiv.org/pdf/2410.04301This paper studies how the concept of "group pressure" can lead to consensus in multi-agent systems, even when individual opinions are formed through more complex dynamics than simple averaging.
For LLM-based multi-agent systems, this means that introducing a "public opinion" element, derived from the agents' opinions, can steer the system towards agreement even if individual LLMs have tendencies to diverge or cluster in their opinions. This "public opinion" acts as a nudging force towards consensus without overriding individual LLM outputs. The paper also proves that the time to reach agreement is not affected by the number of agents, making it potentially scalable for large LLM-based systems.