Temporal planning methods usually focus on the objective of minimizing makespan.
Unfortunately, this misses a large class of planning problems where it is important to …

We have seen ten years of the application of AI planning to the problem of narrative
generation in Interactive Storytelling (IS). In that time planning has emerged as the dominant …

Planning with preferences involves not only finding a plan that achieves the goal, it requires
finding a preferred plan that achieves the goal, where preferences over plans are specified …

Over the last few years constraint satisfaction, planning, and scheduling have received
increased attention, and substantial effort has been invested in exploiting constraint …

AI planning has featured in a number of Interactive Storytelling prototypes: since narratives
can be naturally modelled as a sequence of actions it is possible to exploit state of the art …

This paper studies an approach to planning with PDDL3 constraints involving mixed
propositional and numeric conditions, as well as metric time constraints. We show how the …

Automated Planning is an old area of AI that focuses on the development of techniques for
finding a plan that achieves a given goal from a given set of initial states as quickly as …

Linear temporal logic (LTL) is an expressive language that allows specifying temporally
extended goals and preferences. A general approach to dealing with general LTL properties …

Active Appearance Model (AAM) based face tracking has advantages of accurate alignment,
high efficiency, and effectiveness for handling face deformation. However, AAM suffers from …

Virtual Actors are at the heart of Interactive Storytelling systems and in recent years multiple
approaches have been described to specify their autonomous behaviour. One well known …