Workshop on Knowledge Engineering for Planning and Scheduling (KEPS)

Despite the progress in automated planning and scheduling systems, these systems still need to be fed by problem description and they need to be fine tuned for particular domains or problems. Knowledge engineering for AI planning and scheduling deals with the acquisition, validation and maintenance of domain models, and the selection and optimization of appropriate machinery to work on them. The importance of knowledge engineering techniques is clearly demonstrated by a performance gap between domain-independent planners and planners exploiting domain dependent knowledge.