Dates
- March 13, 2017 - Submissions Due
- April 7, 2017 - Notification
- April 21, 2017 - Camera-ready Due
- June 19-20, 2017 - Workshop Date
Workshops
KEPS
2017 Workshop on Knowledge Engineering for Planning and Scheduling
An ICAPS'17 Workshop
Pittsburgh, USA
19-20 June 2017
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.
Topics and Objectives
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.
Example of typical topics for submissions in this workshop are:
- formulation of domains and problem descriptions
- methods and tools for the acquisition of domain knowledge
- pre- and post-processing techniques for planners and schedulers
- acquisition and refinement of control knowledge
- formal languages for domain description
- re-use of domain knowledge
- translators from other application-area-specific languages to solver-ready domain models (such as PDDL)
- formats for specification of heuristics, parameters and control knowledge for solvers
- import of domain knowledge from general ontologies
- ontologies for describing the capabilities of planners and schedulers
- automated reformulation of problems
- automated knowledge extraction processes
- domain model, problem and plan validation
- visualization methods for domain models, search spaces and plans
- mapping domain properties and planning techniques
- plan representation and reuse
- knowledge engineering aspects of plan analysis
Submission Information
Two types of papers can be submitted. Full technical papers with the length up to 8 pages (plus one for references) 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 should conform to the AAAI style template. The papers must be submitted in a PDF format via the EasyChair system. Submissions will be reviewed by at least two referees.
In order to encourage the submission of original papers to the workshops, the ICAPS council has announced an initiative to fast-track strong workshop papers from one year to the main track of the next ICAPS. Up to two papers will be recommended by the KEPS organisers. The ICAPS 2018 program chairs will have a look at these papers and the workshop reviews and invite the authors of these papers to resubmit them to the ICAPS 2018 main track.
Important Dates
- Paper submission deadline: March 13, 2017 (UTC-12 timezone)
- Notification: April 7, 2017
- Camera-ready paper submission: April 21, 2017
Organising Committee
- Lukas Chrpa, Czech Technical University & Charles University in Prague, Czech Republic
- Mauro Vallati, University of Huddersfield, UK
- Tiago Vaquero, MIT & CalTech, USA
Schedule
June 19: 9:00 a.m. - 17:30 p.m.
9.00-10.30 | Session 1 |
Classical Planning in Latent Space: From Unlabeled Images to PDDL (and back) | |
Attribute Grammars with Set Attributes and Global Constraints as a Unifying Framework for Planning Domain Models | |
A PDDL Representation for Contradance Composition | |
10:30 | Coffee Break |
11.00-12.30 | Session 2 (am) |
StoryFramer: From Input Stories to Output Planning Models | |
Extracting Incomplete Planning Action Models from Unstructured Social Media Data to Support Decision Making | |
Planning-based Scenario Generation for Enterprise Risk Management | |
14.30-15.30 | Session 3 (pm) |
Invited Talk: The Hitchhiker's Guide to PDDL Modeling
| |
15:30-4:00 | Coffee Break |
16.00-17.30 | Session 4 (pm) |
Domain Model Acquisition with Missing Information and Noisy Data | |
Integrating Modeling and Knowledge Representation for Combined Task, Resource and Path Planning in Robotics | |
Method Composition through Operator Pattern Identification |
Accepted Papers
Masataro Asai and Alex FukunagaClassical Planning in Latent Space: From Unlabeled Images to PDDL (and back)
Roman Barták and Adrien Maillard
Attribute Grammars with Set Attributes and Global Constraints as a Unifying Framework for Planning Domain Models
Lydia Manikonda, Shirin Sohrabi, Kartik Talamadupula Biplav Srivastava and Subbarao Kambhampati
Extracting Incomplete Planning Action Models from Unstructured Social Media Data to Support Decision Making
Thomas Hayton, Julie Porteous, Joao Ferreira, Alan Lindsay and Jonathon Read
StoryFramer: From Input Stories to Output Planning Models
Simone Fratini, Tiago Nogueira and Nicola Policella
Integrating Modeling and Knowledge Representation for Combined Task, Resource and Path Planning in Robotics
Shirin Sohrabi, Anton Riabov and Octavian Udrea
Planning-based Scenario Generation for Enterprise Risk Management
Maurício Cecílio Magnaguagno and Felipe Meneguzzi
Method Composition through Operator Pattern Identification
Peter Gregory, Alan Lindsay and Julie Porteous
Domain Model Acquisition with Missing Information and Noisy Data
Richard Freedman and Shlomo Zilberstein
A PDDL Representation for Contradance Composition