XAgents: A Structured Rule-Guided Multi-Agent Cooperative System via Multipolar Task Graph Modeling

Published in IEEE Transactions on Emerging Topics in Computational Intelligence (Under Review), 2025

Hailong Yang, M. Gu, J. Wang et al. IEEE Transactions on Emerging Topics in Computational Intelligence (Under Review, 在审).

XAgents: A Structured Rule-Guided Multi-Agent Cooperative System via Multipolar Task Graph Modeling

This paper proposes XAgents, a structured rule-guided multi-agent cooperative system that uses multipolar task graph modeling to coordinate complex multi-agent workflows. The system ensures reliable and interpretable agent collaboration through explicit rule-based guidance.

Submitted to IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI). Currently under review (在审).

First author.