Emergency management is a process by which all individuals, groups, and communities manage hazards in an effort to avoid or ameliorate the impact of disasters resulting from the hazards. Emergency response workflow is dynamic because there are lots of uncertainties with the course of hazard development and rescue effort. Existing dynamic workflow modeling technologies are not su±cient to describe the complex emergency response processes which are context aware and data-driven. In this paper, we propose an intelligent agent based approach to supporting the emergency response process management. The approach integrates BDI (Belief-Desire-Intention) agents with WIFA workflow model, which was developed in our previous work, to a powerful tool for truly dynamic workflow modeling and enactment. A BDI agent is an intelligent agent. Beliefs represent the informational state of the agent - in other words its beliefs about the world. Desires (or goals) represent the motivational state of the agent. They represent objectives or situations that the agent would like to accomplish or bring about. Intentions represent the deliberative state of the agent: what the agent has chosen to do. Intentions are desires to which the agent has to some extent committed. Workflows represent sequences of actions that an agent can perform to achieve one or more of its intentions. Based on this approach, we developed an emergency response training tool which is customizable for individual organization use and scalable to incident response settings from rural to urban domestically and foreign outposts for military applications, and can operate at a holistic exercise level.
William Tepfenhart, Jiacun Wang. Towards True Dynamic Workflow for Emergency Response. International Journal of Software and Informatics, 2012,6(2):307~325Copy