An integral cycle for building feasible multi-agent plans

Abstract

This work proposes a multi-agent planning framework. It presents an integral cycle we developed to build feasible multi-agent plans in a dynamic context (i.e. aircraft simulation). This cycle takes into account both functional and computational features of our multi-agent planning framework. From modeling to validation, this cycle allows the management of different constraints (e.g. time, physical resources, etc.) at the single- and multi-agent levels.