A Team-based Organizational Model for Adaptive Multi-agent Systems

Our everyday lives and specially our social transactions require various types of coordination that incorporate decision making process within a dynamic uncertain environment under multiple constraints. Cooperation between members is an important coordination task which aims to maximize the overall utility. Rescue systems are good examples of these systems that their utility is a function of the rate of successful task handling and the average task performing time. Multi-agent organizations are good selections to model and probe the complex behaviours in such cooperative systems. Proper organizational modelling to gain the best utility is a challenging issue in this area. In this paper, we propose a team-based multi-agent organizational model, based on the Schwaninger's model of intelligent human organizations. It provides an integrative framework to rapid task handling, the main effectiveness requirement in many applications. Adaptation via reorganization makes the model suitable for dynamic, uncertain environments. Fast initial team formation, greedy capability-based coalition formation, and using the nearest neighbours’ resources cause utility improvements compared to the identified hierarchical organizational models.