Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation. The model has been trained using empirical data obtained from case studies. The case studies involved human participants who were trained for responding to emergencies involving fire and smoke using a virtual environment. The simulated (queried) and empirical findings are reasonably consistent. The proposed model enables implementing an agent that exploits environmental cues and cognitive states to determine the type of emergency currently being faced. Considering each emergency type as a situation, the model can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent’s experience for later decision-making.

中文翻译：

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海上平台应急管理的态势感知建模

态势感知是应急管理中的第一步，也是最重要的一步。这是一个动态的步骤，涉及不断变化的条件和环境。这是一个活跃的研究领域。这项研究提出了一个以SA模型为重点的马尔可夫逻辑网络，重点是火灾事故和紧急疏散。该模型已使用从案例研究中获得的经验数据进行了训练。案例研究涉及人类参与者，他们经过培训可以使用虚拟环境应对涉及火灾和烟雾的紧急情况。模拟（查询）和经验结果是合理一致的。提出的模型使得能够实现利用环境线索和认知状态来确定当前面临的紧急事件类型的代理。考虑到每种紧急情况，