Abstract: Agile crisis response organizations can be seen as actor-Agent communities, where artificial coordination strategies are applied to manage activities. This paper provides a classification of artificial coordination strategies, specified in terms of the Rasmussen's three-level model for supervisory control: skill, rule and knowledge based. Three distinct strategies to artificial coordination based on Rasmussen's levels are described. These approaches are applied in a small case study related to the problem of medic-casualty allocation in the crisis response domain. In terms of effectiveness and efficiency, the knowledge-level coordination strategies seem to be the most effective, where the skill-level strategies are the most efficient. Concerning flexibility there is a reverse trade-off with efficiency. Opposed to skill-level strategies, knowledge-level strategies easily adjust to changing operational requirements. On all aspects, the performance of rule-level strategies is in-between knowledge-level and skill-level strategies. The results of this work can be used to improve the performance and effectiveness of actor-Agent communities for mission critical applications.