How to build trust in e-commerce with LLMs?
Distributed Online Life-Long Learning (DOL3) for Multi-agent Trust and Reputation Assessment in E-commerce
This paper presents DOL3, a new algorithm for assessing trust and reputation in multi-agent systems, particularly relevant to e-commerce. Unlike traditional methods reliant on static data, DOL3 uses real-time, adaptive learning to handle the volatile and dynamic nature of online environments where agent trustworthiness can change rapidly. This is particularly relevant for LLM-based multi-agent systems where LLMs acting as agents need to constantly evaluate the trustworthiness of other agents in a rapidly changing information landscape. The paper highlights the effectiveness of DOL3's online learning coupled with a system for sharing information between agents, leading to more accurate trust assessments compared to existing methods.