Serrano Emilio, Poveda Geovanny, Garijo Mercedes
Department of Telematic Systems Engineering, Polytechnic University of Madrid, Madrid 28040, Spain.
Sensors (Basel). 2014 Mar 6;14(3):4513-35. doi: 10.3390/s140304513.
One of the most promising fields for ambient intelligence is the implementation of intelligent emergency plans. Because the use of drills and living labs cannot reproduce social behaviors, such as panic attacks, that strongly affect these plans, the use of agent-based social simulation provides an approach to evaluate these plans more thoroughly. (1) The hypothesis presented in this paper is that there has been little interest in describing the key modules that these simulators must include, such as formally represented knowledge and a realistic simulated sensor model, and especially in providing researchers with tools to reuse, extend and interconnect modules from different works. This lack of interest hinders researchers from achieving a holistic framework for evaluating emergency plans and forces them to reconsider and to implement the same components from scratch over and over. In addition to supporting this hypothesis by considering over 150 simulators, this paper: (2) defines the main modules identified and proposes the use of semantic web technologies as a cornerstone for the aforementioned holistic framework; (3) provides a basic methodology to achieve the framework; (4) identifies the main challenges; and (5) presents an open and free software tool to hint at the potential of such a holistic view of emergency plan evaluation in indoor environments.
环境智能最具前景的领域之一是智能应急预案的实施。由于演练和生活实验室无法重现对这些预案有重大影响的社会行为，如恐慌袭击，基于智能体的社会模拟为更全面地评估这些预案提供了一种方法。（1）本文提出的假设是，对于描述这些模拟器必须包含的关键模块，如形式化表示的知识和逼真的模拟传感器模型，人们兴趣寥寥，尤其是为研究人员提供工具以重用、扩展和互连来自不同研究的模块方面。这种兴趣的缺乏阻碍了研究人员构建一个评估应急预案的整体框架，迫使他们一次次重新考虑并从头开始实施相同的组件。除了通过研究150多个模拟器来支持这一假设外，本文：（2）定义了所确定的主要模块，并提议使用语义网技术作为上述整体框架的基石；（3）提供了实现该框架的基本方法；（4）确定了主要挑战；（5）展示了一个开放且免费的软件工具，以揭示室内环境中应急预案评估这种整体观点的潜力。
