IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-agent Systems

  • Yihuan Mao
  • , Yipeng Kang
  • , Peilun Li
  • , Wei Xu
  • , Chongjie Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationArtificial General Intelligence - 18th International Conference, AGI 2025, Proceedings
EditorsMatthew Iklé, Anton Kolonin, Michael Bennett
PublisherSpringer Science and Business Media Deutschland GmbH
Pages421-432
Number of pages12
ISBN (Print)9783032006851
DOIs
StatePublished - 2026
Event18th International Conference on Artificial General Intelligence, AGI 2025 - Reykjavic, Iceland
Duration: Aug 10 2025Aug 13 2025

Publication series

NameLecture Notes in Computer Science
Volume16057 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Artificial General Intelligence, AGI 2025
Country/TerritoryIceland
CityReykjavic
Period08/10/2508/13/25

Keywords

  • Byzantine Generals Problem
  • Multi-agent Systems
  • Safety
  • Zero-shot Robustness

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