How can incentives align agents for social good?
Managing multiple agents by automatically adjusting incentives
September 6, 2024
https://arxiv.org/pdf/2409.02960This research tackles the challenge of coordinating self-interested AI agents to achieve a common goal, much like managing a team.
Key takeaways for LLM-based multi-agent systems:
- Introducing a "manager" agent can align individual agents toward a shared objective. This manager provides incentives, influencing agents to make choices beneficial to the whole group.
- This approach proves effective in a simulated supply chain scenario, where factories (agents) must balance individual profits with overall on-time deliveries.
- While promising, the current research assumes simpler "naïve" learning agents. Future work must address how more sophisticated LLMs might interact with, or potentially exploit, such a manager system.