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首页> 外文期刊>ACM Transactions on Modeling and Computer Simulation >An Integrated Human Decision Making Model for Evacuation Scenarios under a BDI Framework
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An Integrated Human Decision Making Model for Evacuation Scenarios under a BDI Framework

机译:BDI框架下疏散方案的综合人类决策模型

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摘要

An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning for evacuation scenarios, whose submodules are based on a Bayesian Belief Network (BBN), Decision-Field-Theory (DFT), and a Probabilistic Depth-First Search (PDFS) technique. A key novelty of the proposed model is its ability to represent both the human decision-making and decision-planning functions in a unified framework. To mimic realistic human behaviors, attributes of the BDI framework are reverse-engineered from human-in-the-loop experiments conducted in the Cave Automatic Virtual Environment (CAVE). The proposed modeling framework is demonstrated for a human's evacuation behaviors in response to a terrorist bomb attack. The simulated environment and agents (models of humans) conforming to the proposed BDI framework are implemented in AnyLogic~? agent-based simulation software, where each agent calls external Netica BBN software to perform its perceptual processing function and Soar software to perform its real-time planning and decision-execution functions. The constructed simulation has been used to test the impact of several factors (e.g., demographics, number of police officers, information sharing via speakers) on evacuation performance (e.g., average evacuation time, percentage of casualties).
机译:提出了一个集成的信念-愿望-意图(BDI)建模框架,用于人类决策和疏散方案的规划,其子模块基于贝叶斯信念网络(BBN),决策场理论(DFT)和概率深度-首次搜索(PDFS)技术。所提出的模型的一个关键新颖之处在于它能够在统一的框架中代表人类决策和决策计划功能。为了模仿现实的人类行为,BDI框架的属性是根据在Cave自动虚拟环境(CAVE)中进行的在环实验进行逆向工程的。拟议的建模框架针对恐怖分子炸弹袭击中的人员疏散行为进行了演示。符合提出的BDI框架的仿真环境和代理(人类模型)在AnyLogic中实现。基于代理的仿真软件,其中每个代理都调用外部Netica BBN软件来执行其感知处理功能,并使用Soar软件来执行其实时计划和决策执行功能。所构建的模拟已用于测试多个因素(例如,人口统计学,警务人员的人数,通过演讲者共享的信息)对疏散性能(例如,平均疏散时间,人员伤亡百分比)的影响。

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