科技智囊Issue(4)：78-82,5.DOI:10.19881/j.cnki.1006-3676.2026.04.10
面向复杂任务异构大模型智能体协同决策
Collaborative Decision-Making of Heterogeneous Large Model Agents for Complex Tasks
门大开 1宁连举2
作者信息
- 1. 北京邮电大学人工智能学院,北京,100876
- 2. 北京邮电大学经济管理学院,北京,100876
- 折叠
摘要
Abstract
[Research purpose]Multi-agent collaboration has been an important direction for enhancing the complex task processing capabilityof large models in recent years.Under the premise that multiple different models constitute agents and carry out collaboration,more efficient decision-makingcan be achieved relying on task division and information exchange.[Research method]This paper explores this method from the perspective of agent collaboration of large models for complex tasks,analyzes it from the dimensions of heterogeneous agent architecture,multi-agent collaborative decision-making mechanism,and complex task matching,and designs a collaborative decision-making and task scheduling method for heterogeneous large model agents for complex tasks on this basis.[Research conclusion]In the above architecture,models interact in a unified way and dynamically allocate different tasks according to the current situation;at the same time,they can adjust the information mastered by themselves according to requirements,which to a certain extent improves the robustness and intelligence of the system.Therefore,this paper proposes a communication and task scheduling method for large model agents oriented to complex tasks.关键词
大模型智能体/复杂任务/协同决策/任务分配/自适应优化Key words
large model agent/complex task/collaborative decision-making/task allocation/adaptive optimization分类
信息技术与安全科学引用本文复制引用
门大开,宁连举..面向复杂任务异构大模型智能体协同决策[J].科技智囊,2026,(4):78-82,5.
