Towards a Multiagent Decision Support System for crisis Management
Kebair, Fahem, Serin, Frédéric
–arXiv.org Artificial Intelligence
Fahem Kebair ABSTRACT The cirsis 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 the occur of a crisis or to manage it 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. INTRODUCTION Natural and man made disasters are permanent hazards for human beings since they may have harmful consequences for them and their properties. In order to brace such events, people must be efficient in their evaluations, their decision making and their actions.
arXiv.org Artificial Intelligence
May-31-2014
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