Information Modeling for a Dynamic Representation of an Emergency Situation
Fahem Kebair, Frederic Serin

TL;DR
This paper presents a flexible decision support system that models and dynamically represents emergency information using a multiagent system, demonstrated on the RoboCupRescue Simulation System.
Contribution
It introduces an application-independent approach for modeling emergency information dynamically with multiagent systems, adaptable to various scenarios.
Findings
Successful implementation on RoboCupRescue Simulation System
Effective dynamic information representation in emergency scenarios
Potential for adaptation to different emergency management contexts
Abstract
In this paper we propose an approach to build a decision support system that can help emergency planners and responders to detect and manage emergency situations. The internal mechanism of the system is independent from the treated application. Therefore, we think the system may be used or adapted easily to different case studies. We focus here on a first step in the decision-support process which concerns the modeling of information issued from the perceived environment and their representation dynamically using a multiagent system. This modeling was applied on the RoboCupRescue Simulation System. An implementation and some results are presented here.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Data Processing Techniques
