Dynamic real-time scheduling for human-agent collaboration systems based on mutual trust
Dynamic real-time scheduling for human-agent collaboration systems based on mutual trust
复制标题
基于互信的人机协作系统动态实时调度
DOI：
10.1080/23335777.2015.1056755
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发表时间：
2015
影响因子：
--
通讯作者：
Yue Wang
中科院分区：
文献类型：
--
作者：
Xiaotian Wang;Zhenwu Shi;Fumin Zhang;Yue Wang
相互信任是人与人合作的关键因素。受这种社会互动的启发，我们分析了人类和（半）自治多智能体系统的合作中的人类-智能体相互信任。人与智能体之间的相互信任应该是双向的，它决定了人对自主智能体的接受和使用，以及智能体接受人的命令的意愿。当一个人同时与多个代理合作时，这一点尤为重要。在本文中，我们推导出时间序列的人与智能体的相互信任模型的基础上，从人因工程的结果。为了避免“过度信任”和“信任不足”，我们建立了多智能体调度问题的动态时序模型，并开发了必要和充分条件来测试人类多智能体协作任务的可执行性。我们的仿真结果表明，该算法保证了有效的实时调度的人类多智能体协作系统，同时确保了适当的水平的人类智能体相互信任。
Mutual trust is a key factor in human–human collaboration. Inspired by this social interaction, we analyse human–agent mutual trust in the collaboration of human and (semi)autonomous multi-agent systems. Human–agent mutual trust should be bidirectional and determines the human’s acceptance and hence use of autonomous agents as well as agents’ willingness to take human’s command. It is especially important when a human collaborates with multiple agents concurrently. In this paper, we derive time-series human–agent mutual trust models based on results from human factors engineering. To avoid both ‘over-trust’ and ‘under-trust’, we set up dynamic timing models for the multi-agent scheduling problem and develop necessary and sufficient conditions to test the schedulability of the human multi-agent collaborative task. Our simulation results show that the proposed algorithm guarantees effective real-time scheduling of the human multi-agent collaboration system while ensuring a proper level of human–agent mutual trust.