The emergence of planners capable of reasoning with continuous dynamics, as expressed
in PDDL+, has increased the range of problems that fall within the capabilities of PDDL …

Abstract Reasoning with continuously changing numeric quantities is vital to applying
planners in many real-world scenarios. Several planners capable of doing this have been …

PDDL+ is an extension of PDDL2. 1 which incorporates fully-featured autonomous
processes and allows for better modelling of mixed discrete-continuous domains. Unlike …

Planning, in its purest form, is the process of organising a set of actions, while anticipating
the effect of each action, to achieve pre-stated objectives. Artificial Intelligence (AI) Planning …

Abstract Recent progress in Automated Planning not only involves improvements in the
efficiency of planning engines but also in the granularity in which domains can be modelled …

The techniques for retrieving, representing and processing knowledge used in the Intelligent
Tutoring Systems (ITS) are not suitable and efficient enough for representing both domain …

Learning for planning has extensive aspirations to aim at. Our primary focus area of review
in this paper is the knowledge engineering of domain models to feed planners. This …