ICMTEST-2026 - an Adaptive Multi-Agent Framework for Argumentation With a Legal Case Study
An adaptive multi-agent framework that combines the principle of Retrieval-Augmented Generation with structured debate and knowledge enrichment over time enables long-term learning and better performance over time, in contrast to the static systems that do not update their own knowledge base following a case.