A modal and deontic defeasible reasoning system for modelling policies and multi-agent systems

Defeasible reasoning is a well-established nonmonotonic reasoning approach that has recently been combined with Semantic Web technologies. This paper describes modal and deontic extensions of defeasible logic, motivated by potential applications for modelling multi-agent systems and policies. It describes a logic metaprogram that captures the underlying intuitions, and outlines an implemented system. Finally, it demonstrates its use for modelling policies.