Towards a Multiagent Decision Support System for crisis Management
This work addresses the problem of unreliable decision-making in dynamic emergency environments for emergency managers, but it appears incremental as it builds on existing multiagent and decision support system concepts without claiming major breakthroughs.
The paper tackles the challenge of creating flexible and adaptive decision support systems for crisis management by proposing a multiagent architecture that models emergency environment information to prevent and manage crises. It focuses on the perception and reflection of situational evolution, with general approaches and experimentations provided.
Crisis management is a complex problem raised by the scientific community currently. Decision support systems are a suitable solution for such issues, they are indeed able to help emergency managers to prevent and to manage crisis in emergency situations. However, they should be enough flexible and adaptive in order to be reliable to solve complex problems that are plunged in dynamic and unpredictable environments. The approach we propose in this paper addresses this challenge. We expose here a modelling of information for an emergency environment and an architecture of a multiagent decision support system that deals with these information in order to prevent and to manage the occur of a crisis in emergency situations. We focus on the first level of the system mechanism which intends to perceive and to reflect the evolution of the current situation. The general approach and experimentations are provided here.