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Role-Based Human-Machine Collaboration Task-Allocation Strategy in Multiagent Environment
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DOI：10.1109/THMS.2025.3591603.png)
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摘要
En 中文
The human-machine collaboration task-allocation problem involves three major challenges: role diversity, capability heterogeneity, and task dynamics. Most existing studies treat humans and machines as parallel units through a static Human + Machine additive paradigm, which neglects the evolution of capability during collaboration. Some works deeply couple relatively low-autonomy machines with humans, thereby limiting the system's flexibility in resource scheduling and dynamic reconfiguration. This study analyzes the problem from a multiagent system perspective and classifies execution units into three types: human agents, machine agents, and human-machine collaborative agents, and distinguishes between their independent and collaborative capabilities. Next, we propose the dynamic short-board balance synergy assessment method, which integrates the short-board concept to quantify collaboration performance and leverages agents that have low independent but high collaborative capabilities. By incorporating multiple constraints, we establish the role-based human-machine collaboration (RBHMC) model, prove its NP-hardness, and design a multi-level solving approach to handle small-scale and medium-to-large-scale data separately. The experimental results indicate that, compared with Human + Machine and Deep Coupling models, RBHMC outperforms in task completion rate, resource utilization, and system robustness. An industrial case study further validates its applicability and superiority in real-world settings. Finally, RBHMC's transferability is validated through vertical technology adaptation and horizontal scenario migration, providing a scalable solution for multidomain human-machine collaboration in complex scenarios.
Keyword:
Collaboration
Adaptation models
Resource management
Multi-agent systems
Artificial intelligence
Couplings
Computational modeling
Companies
Optimization
Human-machine systems
Human-machine collaboration (HMC)
multiagent systems
role-based collaboration (RBC)
task allocation
期刊
IF:
4.4
论文数:
1.1K
被引数:
3.5K
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