Severity-sensitive norm-governed multi-agent planning

This research was funded by Selex ES. The software developed during this research, including the norm analysis and planning algorithms, the simulator and harbour protection scenario used during evaluation is freely available from doi:10.5258/SOTON/D0139Peer reviewedPublisher PD

Policy-driven planning in coalitions - A case study

(c)IFAAMASPeer reviewedPostprin

Observation-Based Multi-Agent Planning with Communication

This research has been sponsored by SELEX ES. We thank Feng Wu for providing the source code of the MAOP-COMM planner.Publisher PD

Severity-Sensitive Robustness Analysis in Normative Systems

Postprin

Freight logistics services for rural economies : User needs and future challenges

Peer reviewedPublisher PD

Predicting reasoner performance on ABox intensive OWL 2 EL ontologies

In this article, the authors introduce the notion of ABox intensity in the context of predicting reasoner performance to improve the representativeness of ontology metrics, and they develop new metrics that focus on ABox features of OWL 2 EL ontologies. Their experiments show that taking into account the intensity through the proposed metrics contributes to overall prediction accuracy for ABox intensive ontologies

A Semi-automated Ontology Construction for Legal Question Answering

Open Access via Springer Compact Agreement.Peer reviewedPublisher PD