Towards a Framework for Hierarchical Multi-agent Plans Diagnosis and Recovery

This paper aim to outline an abstract template of theoretical framework for diagnosis and recovery of hierarchical multi-agent plans to deal with the plans execution exceptions. We propose a recovery policy based on the runtime diagnosis of resources and task failure. To this end, we take advantage of the ability to reason (using the formalism Hierarchical-Plan-Net-with-Synchronization, or SHPlNet) on the abstract tasks interaction and interference in order to localize the recovering region in the global plan.