Rabia Jilani

University of Huddersfield · Department of Informatics

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As every card player knows, most existing card games share a large number of actions and situations. This is the case, for instance, for stacking cards in columns according to some allowed sequence or taking cards from a deal. This is true for both multi-player and solitaire patience games. Although they have such strong similarities, every game al...

Intelligent agents solving problems in the real world require domain models containing widespread knowledge of the world. Domain models can be encoded by human experts or automatically learned through the observation of some existing plans (behaviours). Encoding a domain model manually from experience and intuition is a very complex and time-consum...

Intelligent agents solving problems in the real world require domain models containing widespread knowledge of the world. AI Planning requires domain models. Synthesising operator descriptions and domain specific constraints by hand for AI planning domain models is time intense, error-prone and challenging. To alleviate this, automatic domain model...

Domain-independent planning systems require that do-main constraints and invariants are specified as part of the input domain model. In AI Planning, the generated plan is correct provided the constraints of the world in which the agent is operating are satisfied. Specify-ing operator descriptions by hand for planning domain models that also require...