Agent-Based Disaster Simulation Evaluation and its Probability Model Interpretation
Agent-Based Disaster Simulation Evaluation and its Probability Model Interpretation
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发表时间：
2007
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通讯作者：
C. Nieuwenhuis
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作者：
C. Nieuwenhuis
基于Agent的仿真通过使用Agent表示人类行为来实现对社会现象的仿真。在地震期间，人类的行动，如疏散到安全的避难所或在灾区灭火是很重要的。在计算灾害地点的损失时纳入人类活动，为地方政府的规划提供了有用的数据。为了实际应用这些模拟结果，应该使用实际数据来测试这些结果。此外，这些结果应该以一种非代理程序员也可以容易理解的方式进行分析和解释。首先，应用基于代理的方法来社会任务的可能性，通过比较从其他方法得到的模拟结果。接下来，我们提出了一种方法来呈现代理行为的概率模型，并讨论了将这种方法应用于RoboCup Rescue仿真数据的结果。这些将深入研究未来的研究课题，开发基于代理的社会模拟实际的。
Agent-based simulations enable the simulation of social phenomenon by representing human behaviors using agents. Human actions such as evacuating to safe havens or extinguishing fires in disaster areas are important during earthquakes. The inclusion of human actions in calculating the damage at disaster sites provides useful data to local governments for planning purposes. In order to practically apply these simulation results, these results should be tested using actual data. Further, these results should be analyzed and explained in a manner that people who are not agent programmers can also understand easily. First, the possibility of applying agent-based approaches to social tasks is shown by comparing the simulation results with those obtained from other methods. Next, we propose a method to present agent behaviors using a probability model and discuss the results of applying this method to the RoboCup Rescue simulation data. These will delve into future research topics for developing agent based social simulations to practical ones.