The motivation for using hierarchical planning formalisms is manifold. It ranges from an explicit and predefined guidance of the plan generation process and the ability to represent complex problem solving and behavior patterns to the option of having different abstraction layers when communicating with a human user or when planning co-operatively. The best-known formalism in the field is Hierarchical Task Network (HTN) planning. In addition, there are several other hierarchical planning formalisms, e.g., hybrid planning (incorporating aspects from POCL planning), Hierarchical Goal Network (HGN) planning (incorporating a hierarchy on goals), or formalisms that combine task hierarchies with timeline planning (e.g. ANML). Hierarchies induce fundamental differences from classical planning, creating distinct computational properties and requiring separate algorithms from non-hierarchical planners. Many of these aspects of hierarchical planning are still unexplored. Thus, we encourage any contribution, independent of the underlying hierarchical planning formalism, and want to provide a forum for researchers to discuss the various aspects of hierarchical planning.
Topics of interests include but are not limited to:
The formatting guidelines (author kit, etc.) are the same as for ICAPS 2021. Like at the main conference, there will be a high quality double-blind review process against the standard ICAPS criteria of significance, soundness, scholarship, clarity, and reproducibility. However, submissions may be less evolved than at the main conference.
We have two categories:
Technical research papers are standard conference papers, but may be less evolved. The purpose of challenge papers is to report on or to make aware of interesting/important problems in Hierarchical Planning and to encourage discussion at the workshop -- not to present some significant contribution.
Authors may submit *long papers* (up to 8 pages plus up to one page of references) or *short papers* (up to 4 pages plus up to one page of references). The purpose of short papers is to encourage publications of more preliminary results; challenge papers need to be short papers. In case of acceptance, the full 5, resp. 9, pages can be used for the paper, e.g. to address the reviewers' comments.
If you are interested in presenting work that was accepted or published at a conference or journal, please contact the organizers. We will not include such a paper into our proceedings, but we are happy to discuss options for presenting such work.
Submission page: https://easychair.org/conferences/?conf=hplan2021
The reference timezone for all deadlines is UTC-12, i.e., AOE.
Bio.The research activity of Malik Ghallab is focused on AI and Robotics. He contributed to topics such as knowledge representation and reasoning, planning, and learning of skills and models of behaviors. He (co-)authored over 200 technical papers and several books. He taught AI at a few universities in France and abroad; he advised 32 PhDs. He was director of several AI research programs in France, director of LAAS-CNRS and CTO of INRIA. He chairs the Steering Committee of ANITI, the interdisciplinary AI institute of Toulouse. His is involved in initiatives regarding socially responsible research in AI and computational sciences. He is ECCAI Fellow, and Docteur Honoris Causa of Linköping University, Sweden.
Will be available soon.
Previous workshops are available here:
Or simply http://hplanYYYY.hierarchical-task.net (with YYYY being the year)