Validating plans in the context of processes and exogenous events
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Modelling mixed discrete-continuous domains for planning
Journal of Artificial Intelligence Research
Dependable and Historic Computing
Automatic construction of efficient multiple battery usage policies
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
A universal planning system for hybrid domains
Applied Intelligence
Plan-based policies for efficient multiple battery load management
Journal of Artificial Intelligence Research
Planning self-adaption with graph transformations
AGTIVE'11 Proceedings of the 4th international conference on Applications of Graph Transformations with Industrial Relevance
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Automating the evaluation of planning systems
AI Communications
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This paper describes aspects of our plan validation tool, VAL. The tool was initially developed to support the 3rd International Planning Competition, but has subsequently been extended in order to exploit its capabilities in plan validation and development. In particular, the tool has been extended to include advanced features of PDDL2.1 which have proved important in mixed-initiative planning in a space operations project. Amongst these features, treatment of continuous effects is the most significant, with important effects on the semantic interpretation of plans. The tool has also been extended to keep abreast of developments in PDDL, providing critical support to participants and organisers of the 4th IPC.