TY - GEN
T1 - IBGP
T2 - 18th International Conference on Artificial General Intelligence, AGI 2025
AU - Mao, Yihuan
AU - Kang, Yipeng
AU - Li, Peilun
AU - Xu, Wei
AU - Zhang, Chongjie
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - As we move towards the era of AGI, AI agents increasingly integrate into our infrastructure, making their robust coordination and message synchronization vital for ensuring reliable and secure multi-agent interactions. The Byzantine Generals Problem (BGP) is a critical model for constructing resilient multi-agent systems (MAS) under adversarial attacks. It describes a scenario where malicious agents with unknown identities exist in the system-situations that, in our context, could result from LLM agents’ hallucinations or intentional attacks. In BGP, the objective of the entire system is to reach a consensus on the action to be taken. Traditional BGP requires global consensus among all agents; however, in practical scenarios, global consensus is not always necessary and can even be inefficient. Therefore, a refined version of BGP that aligns with the MAS local coordination patterns is needed. We refer to it as Imperfect BGP (IBGP). To tackle this issue, we propose a framework that leverages consensus protocols within general MAS settings, providing provable resilience against communication attacks and adaptability to changing environments, as validated by empirical results. 1(For a full version of the paper including appendix, please refer to https://arxiv.org/abs/2410.16237.
AB - As we move towards the era of AGI, AI agents increasingly integrate into our infrastructure, making their robust coordination and message synchronization vital for ensuring reliable and secure multi-agent interactions. The Byzantine Generals Problem (BGP) is a critical model for constructing resilient multi-agent systems (MAS) under adversarial attacks. It describes a scenario where malicious agents with unknown identities exist in the system-situations that, in our context, could result from LLM agents’ hallucinations or intentional attacks. In BGP, the objective of the entire system is to reach a consensus on the action to be taken. Traditional BGP requires global consensus among all agents; however, in practical scenarios, global consensus is not always necessary and can even be inefficient. Therefore, a refined version of BGP that aligns with the MAS local coordination patterns is needed. We refer to it as Imperfect BGP (IBGP). To tackle this issue, we propose a framework that leverages consensus protocols within general MAS settings, providing provable resilience against communication attacks and adaptability to changing environments, as validated by empirical results. 1(For a full version of the paper including appendix, please refer to https://arxiv.org/abs/2410.16237.
KW - Byzantine Generals Problem
KW - Multi-agent Systems
KW - Safety
KW - Zero-shot Robustness
UR - https://www.scopus.com/pages/publications/105013466715
U2 - 10.1007/978-3-032-00686-8_37
DO - 10.1007/978-3-032-00686-8_37
M3 - Conference contribution
AN - SCOPUS:105013466715
SN - 9783032006851
T3 - Lecture Notes in Computer Science
SP - 421
EP - 432
BT - Artificial General Intelligence - 18th International Conference, AGI 2025, Proceedings
A2 - Iklé, Matthew
A2 - Kolonin, Anton
A2 - Bennett, Michael
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 August 2025 through 13 August 2025
ER -