Towards an Intelligent System for Risk Prevention and Management

TL;DR

This paper proposes an agent-based decision support system for risk prevention and emergency management, focusing on modeling information representation within a multiagent framework to aid emergency planners.

Contribution

It introduces a generic multiagent architecture for monitoring and managing risks, emphasizing information modeling as a foundational step.

Findings

Development of an agent-based architecture for risk management

Modeling of information representation using multiagent systems

Initial validation of the proposed approach

Abstract

Making a decision in a changeable and dynamic environment is an arduous task owing to the lack of information, their uncertainties and the unawareness of planners about the future evolution of incidents. The use of a decision support system is an efficient solution of this issue. Such a system can help emergency planners and responders to detect possible emergencies, as well as to suggest and evaluate possible courses of action to deal with the emergency. We are interested in our work to the modeling of a monitoring preventive and emergency management system, wherein we stress the generic aspect. In this paper we propose an agent-based architecture of this system and we describe a first step of our approach which is the modeling of information and their representation using a multiagent system.