Blockchain-Enabled Architecture for Multi-Agent Collaboration Governance
A new study has unveiled a multi-tiered framework that employs blockchain to oversee collaboration between autonomous agents driven by large language models (LLMs). This framework is divided into three distinct layers: the agent layer, the blockchain data layer, and the regulatory application layer. It features three essential modules: automated accountability through tracking agent behavior and mediation, trust evaluation through dynamic reputation scoring, and early identification of harmful actions through predicting malicious behavior. This approach aims to address governance and accountability challenges linked to the unpredictable behaviors and diverse abilities of autonomous agents in industries such as finance, healthcare, and smart manufacturing.
Key facts
- arXiv:2509.09215v2
- Announce Type: replace
- Abstract: Large language models (LLMs)-empowered autonomous agents are transforming digital and physical environments
- Proposes a blockchain-enabled layered architecture for regulatory agent collaboration
- Architecture comprises agent layer, blockchain data layer, and regulatory application layer
- Three modules: agent behavior tracing and arbitration, dynamic reputation evaluation, malicious behavior forecasting
- Addresses governance and accountability challenges
- Domains: finance, healthcare, smart manufacturing
Entities
Institutions
- arXiv