Design and Verification of Human-Agent Collaborative Decision-Making Framework for Wargaming
[1]WU Keyu,HUANG Kuihua,WANG Ling,et al.Design and Verification of Human-Agent Collaborative Decision-Making Framework for Wargaming[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-10.[doi:10.13705/j.issn.1671-6833.2026.04.022]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
48
Number of periods:
2027 XX
Page number:
1-10
Column:
Public date:
2027-12-10
- Title:
- Design and Verification of Human-Agent Collaborative Decision-Making Framework for Wargaming
- Keywords:
- wargaming; human-agent collaborative; human-in-the-loop; dynamic task allocation; NASA-TLX
- CLC:
- TP18；E91
- Abstract:
- To address the highly dynamic and tightly coupled decision-making characteristics of wargaming confrontations, a human-agent collaborative decision-making framework grounded in the human-in-the-loop principle was proposed. The framework introduced a dynamic task-allocation mechanism based on task urgency and decision complexity, dividing the operational process into three stages, including pre-war planning, in-war execution, and post-war evaluation, to clarify the collaborative boundaries between commanders and agents. A verification system integrating four types of agents, namely weapon-target assignment, multi-target air combat strike, cruise missile trajectory planning, and airborne early warning collaborative tactical planning, was implemented on the LingYi platform to form a "digital staff group" capable of supporting complex adversarial wargaming. Comparative experiments were conducted under three conditions: human-only, fully autonomous agents, and human-agent collaboration. Results showed that the collaborative mode achieved the best operational performance with four wins and one loss, significantly outperforming the other two modes. NASA-TLX load evaluations further confirmed that the framework effectively reduced commanders’ cognitive workload and enhanced performance. These findings demonstrated that the proposed framework achieved a favorable balance between operational effectiveness and command load, offering valuable insights for the design of the system architecture and interaction mechanism of the intelligent command system.
- References:
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2026-05-25
