A team-based organizational model for adaptive multi-agent systems

Abstract

Proper organizational modelling is a challenging issue in complex cooperative multi-agent systems. 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 improve utility compared to the identified hierarchical organizational models.