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Reciprocity and Its Neurological Correlates in Human-Agent Cooperation

机译:互惠及其神经系统在人造代理合作中关联

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Reciprocal cooperation is prevalent in human society. Understanding human reciprocal cooperation in human-agent interaction can help design human-agent systems that promote cooperation and joint performance. Studies have found that people reciprocate cooperative behavior when interacting with computer agents in social dilemma games. However, few studies have investigated human reciprocal cooperation with agents in complex dynamic environments. This article examines the behavioral and neurological patterns of reciprocal cooperation in a hospital management microworld experiment. The participants (n = 30) work with both high- and low-cooperation computer agents to share resources to cope with dynamic demands. Participants' resource sharing behaviors were recorded and their prefrontal cortex (PFC) activation was measured using functional near-infrared spectroscopy (fNIRS) technology. Similar to previous studies conducted with participants in the United States, results demonstrate that participants in China showed reciprocal cooperation behaviors with the agents. Specifically, participants share more resources and achieve higher performance when working with a high-cooperation agent than with a low-cooperation agent. A high activation level is detected in the right dorsolateral PFC when working with a high-cooperation agent. Other PFC activation patterns imply that cooperation could be unnecessarily mentally taxing in certain situations. These findings suggest that human cooperativeness in human-agent systems can be calibrated by an agent's cooperation behavior. System designers should design for appropriate cooperativeness and avoid the inefficient use of system resources. Neurological measures could be a useful tool to investigate the mental process in human-agent cooperation
机译:互惠合作在人类社会中普遍存在。了解人类代理互动中的人类互惠合作可以帮助设计促进合作和联合性能的人工代理体系。研究发现人们在与社会困境游戏中的计算机代理商互动时往复运动行为。然而,很少有研究在复杂的动态环境中调查了与代理商的人类互惠合作。本文探讨了医院管理微波实验中互惠合作的行为和神经系统模式。参与者(n = 30)与高合作和低合作的计算机代理商合作,共享资源以应对动态需求。记录参与者的资源共享行为,并使用功能近红外光谱(FNIRS)技术测量其前额叶皮质(PFC)激活。类似于与美国参与者进行的先前研究,结果表明,中国的参与者向代理商展现了互惠合作行为。具体而言,参与者在使用高合作代理时共享更多资源并实现更高的业绩,而不是与低合作代理商合作。在使用高合作代理时,在右侧材料PFC中检测到高激活水平。其他PFC激活模式意味着在某些情况下,合作可能是不必要的精神上征税。这些研究结果表明,人工代理系统中的人类合作可以通过代理商的合作行为校准。系统设计人员应设计适当的合作能力,避免系统资源的低效使用。神经系统措施可能是调查人类代理合作中精神过程的有用工具

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