Adaptive Control Charts for Multi-Agent Systems Reveal Fundamental Tradeoff
A new paper on arXiv extends adaptive control charts to multi-agent systems for automated monitoring. The research demonstrates that adaptive control charts are necessary when agents can learn from their environment, but also shows they are vulnerable to adversarial agents that defect slowly. This reveals a fundamental tradeoff: either agents cannot learn or the system is susceptible to adversaries. The work was submitted to arXiv on an unspecified date and is categorized under Computer Science > Multiagent Systems.
Key facts
- The paper extends adaptive control charts to multi-agent systems.
- Adaptive control charts enable automated monitoring of multi-agent dynamics.
- Simulation shows adaptive control charts are necessary for learning agents.
- Adaptive control charts are susceptible to slowly defecting adversarial agents.
- The tradeoff: agents cannot learn or system is vulnerable to adversaries.
- The paper is on arXiv under Computer Science > Multiagent Systems.
- Current monitoring methods are limited to qualitative inspection.
- Generative agents are deployed with minimal restrictions in open-ended environments.
Entities
Institutions
- arXiv