用序列特征函数对策对事故指挥系统中的指挥链进行建模

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Tabajara Krausburg, Rafael H. Bordini, Jürgen Dix
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引用次数: 0

摘要

鉴于灾害事件对受灾社区造成的社会和经济影响,灾害响应是一项重大挑战。我们研究了如何利用联盟形成来解决资源(如应对事件的人员)的分级问题。作为案例研究,我们考虑了咆哮的洪水情景,并模拟了事件指挥系统(ICS)框架--该框架提供了合作应对灾难事件的指南。我们的方法基于基于规模的估值结构所诱导的连续特征函数博弈。我们的研究表明,这种方法可以提供 ICS 行动部门所要求的层次结构,并为一些现实的灾难场景提供了一种可行的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling a chain of command in the incident command system using sequential characteristic function games

Disaster response is a major challenge given the social and economic impact on the communities affected by disaster incidents. We investigate how coalition formation can be used for the problem of forming a hierarchy of resources (e.g., personnel responding to the incident). As a case study, we consider the roaring river flood scenario and model the Incident Command System (ICS) framework—providing guidelines on cooperatively responding to disaster incidents. Our approach is based on sequential characteristic-function games induced by size-based valuation structures. We show that this approach can deliver a hierarchy as required by the Operations Section of the ICS and provides a promising way to generate practical solutions for some realistic disaster scenarios.

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来源期刊
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
3.00
自引率
8.30%
发文量
37
审稿时长
>12 weeks
期刊介绍: Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning. The journal features collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages), which focus on one topic and have one or more guest editors. Annals of Mathematics and Artificial Intelligence hopes to influence the spawning of new areas of applied mathematics and strengthen the scientific underpinnings of Artificial Intelligence.
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