Selection of Resources For Missions Using Semantic-Aware Cooperative Agents

Different organizations carry out various missions. Some missions may be crucial for the organizations, and require critical but scarce resources. Scarcity of these critical resources and importance of the missions create an incentive for the organizations to cooperate by sharing their resources with an expectation of carrying out their missions successfully even if the resources in hand are limited. In this paper, we propose a multiagent framework where organizations’ missions are semantically described, and then a hierarchical multiagent system represents each mission. Using the semantic description of the mission plans, the agents reason about resources required for their missions and cooperatively decide on the resources that should be shared to carry out those missions. This is achieved at different levels of the agent hierarchy where policies and constraints are used during the decision process. Our experiments show that our approach leads to a better utilization of the resources and significantly improves the number of achievable missions when the number of available resources is limited.