Workshop on Knowledge Engineering for Planning and Scheduling (KEPS)

Special focus on Learning and Data Driven Model Acquisition

Collocated with ICAPS 2019 in Berkeley, USA.

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

The workshop shall continue the tradition of several International Competitions on Knowledge Engineering for Planning and Scheduling (ICKEPS) and KEPS workshops. Rather than focusing only on software tools and domain encoding techniques –which are topics of ICKEPS– the workshop will cover all aspects of knowledge engineering for AI planning and scheduling.

We seek original papers ranging from experience reports to the description of new technology in the following areas: In particular, this year we encourage papers with a specific focus on the task of model acquisition, more concretely characterized by the three following categories:
  1. Solicitation: The manual process of specifying a model.
  2. Induction: The fully automatic synthesis of a model from data.
  3. Hybrid: A mix of partial-model induction and solicitation
In addition to the areas listed above, we particularly welcome works on: Papers adhering to the theme on model acquisition would be appearing in a special session of the workshop with focus on the above topics. Authors of submissions on this topic who wish to appear in that session should explicitly indicate so in the author area of their manuscript.

We are pleased to accept papers based on recent publications from other (non ICAPS) venues such as specialized conferences (AAMAS, ICRA, KR, ...), or general AI conferences (AAAI, IJCAI, ECAI, ...). This must be however clearly indicated in the submitted paper. Two types of papers can be submitted. Full technical papers with the length up to 8 pages are standard research papers. Short papers with the length between 2 and 4 pages describe either a particular application or focus on open challenges. All papers must be submitted in a PDF format and must conform to the AAAI style template. Authors can select if they want their submissions to be single-blind or double-blind (recommended for IJCAI dual submissions) at the time of submission. Submissions will be reviewed by at least two referees. The OpenReview forum will also allow the public to comment and provide feedback on the papers (but authors will remain anonymous to the public).