A simulation approach for risk modeling and analysis based on multi-agents

Abstract

Agent-based modeling and simulation is an interesting approach to modeling systems comprised of autonomous, interacting agents. Computational advances have made possible a growing number of agent-based models across a variety of application domains. This paper describes a generic approach to use agent-based modeling for risk analysis. It presents a novel generic model facet for representing risk analysis and fault tree propagation in an agent model, where the goal is to simulate the behavior of a system in normal and degraded mode by using multi-agents systems.