Call for papers


The 31st PlanSIG workshop will be held at the University of Edinburgh in Edinburgh, Scotland, UK.

The PlanSIG workshop is (usually) a yearly forum where academics, industrialists, and research students can meet and discuss current issues in an informal setting. We especially aim to bring together researchers attacking different aspects of planning and scheduling problems, and to introduce new researchers to the community. In recent years the SIG has attracted an international gathering, and we continue to welcome contributions from around the world.

Submissions to the event are solicited. Each contribution will be reviewed and accepted original papers will appear in PlanSIG's proceedings. Authors of papers describing work already published must clearly indicate this information in their submission.

Topics of interest

Applicants are expected to be conducting research in the field of Automated Planning & Scheduling; topics of interest include (but are not limited to):

  • Algorithms: Novel planning and scheduling algorithms.
  • Applications: Empirical studies of existing planning/scheduling systems; domain-specific techniques; heuristic techniques; user interfaces for planning and scheduling; evaluation metrics for plans/schedules; verification and validation of plans/schedules. Application examples of real world problems are particularly welcomed.
  • Architectures: Real-time support for planning/scheduling/control; mixed-initiative planning and user interfaces; integration of planning and scheduling; continuous planning systems; integration of planning/scheduling and Fault Detection Isolation and Recovery (FDIR); planning and scheduling in autonomous systems.
  • Artificial Intelligence and Operations Research: Comparative studies and innovative applications combining AI and OR techniques applied to scheduling and/or planning.
  • Constraint-based Planning/Scheduling and Control Techniques: Constraint/preference propagation techniques, variable/value ordering heuristics, intelligent backtracking/RMS-based techniques, iterative repair heuristics, etc.
  • Coordination Issues in Decentralised/Distributed planning/scheduling: Coordination issues in both homogeneous and heterogeneous systems, system architecture issues, integration of strategic and tactical decision making; collaborative planning/scheduling.
  • Environmental and Task Models: Analyses of the dynamics of environments, tasks, and domains with regard to different models of planning and execution; verification and validation of domain models.
  • Formal Models: Reasoning about knowledge, action, and time; representations and ontologies for planning and scheduling; search methods and analysis of algorithms; formal characterisation of existing planners and schedulers.
  • Intelligent Agency: Resource-bounded reasoning; distributed problem solving; integrating reaction and deliberation.
  • Iterative Improvement Techniques for Combinatorial Optimisation: Genetic algorithms, simulated annealing, tabu search, neural nets, etc. applied to scheduling and/or planning.
  • Knowledge engineering for planning: Domain construction tools and techniques, knowledge elicitation, ontology development.
  • Learning: Learning in the context of planning and execution; learning new plans and operators; learning in the context of scheduling and schedule maintenance.
  • Memory Based Approaches: Case-based planning/scheduling; plan and operator learning and reuse; incremental planning.
  • Planning/scheduling under uncertainty: Coping with uncertain, ill-specified or changing domains, environments and problems; application of uncertainty reasoning techniques to planning/scheduling, including MDPs, POMDPs, Belief Networks, stochastic programming, and stochastic satisfiability.
  • Plan Recognition: Techniques for identifying plans, actions, and goals, and particularly the connection between such techniques and traditional planning approaches and representations.
  • Reactive Systems: Environmentally driven devices/behaviours; reactive control; behaviours in the context of minimal representations; schedule maintenance.
  • Robotics: Motion and path planning; planning and control; planning and perception, integration of planning and perceptual systems.

We welcome three categories of paper submissions:

  • Long papers: (max 8 pages + 1 page references). These papers should report work in progress or completed work. Authors of long papers that are accepted by the Programme Committee will be invited to give a talk on the paper.
  • Short papers: (2-4 pages + 1 page references) These papers should report views or ambitions, or describe problems. The author(s) will be able to discuss the paper informally with others at the workshop and will be invited to give a short presentation on their work.
  • Late breaking reports: (2 pages, including references) These papers should describe work in progress, preliminary results, or highlights of recently completed work. Authors of accepted late-breaking reports will be invited to present a short overview of their work and/or a poster.

Authors of papers describing work already published must clearly indicate this information in their submission.


All submissions must be formatted in AAAI format using the latest author kit. Please refer to the author instructions on the AAAI web site for detailed formatting instructions and LaTeX style files. Final papers will be in the same format. The AAAI copyright notice does not need to appear on your papers.


Paper submission is through EasyChair at:

Final camera-ready papers should also be submitted through EasyChair.

Important dates

The most up to date schedule for paper submission and reviewing can be found on the important dates page »