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PlanSIG 2016 : The 34th Workshop of the UK PLANNING AND SCHEDULING Special Interest Group


When Dec 15, 2016 - Dec 16, 2016
Where Huddersfield, UK
Submission Deadline Oct 21, 2016
Notification Due Nov 4, 2016
Final Version Due Nov 25, 2016
Categories    artificial intelligence   automated planning   scheduling

Call For Papers

34th Workshop of the UK PLANNING AND SCHEDULING Special Interest Group
Huddersfield UK, December 15th and 16th 2016

The 34th PlanSIG workshop will be held at the University of Huddersfield
in Huddersfield, 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.

Important Dates

Submissions: October 21th 2016
Notification: November 4th 2016
Camera ready: November 25th 2016
Workshop: December 15th & 16th 2016

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

* 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.

* 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

* 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.

* 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.

* 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.

* 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.

* Iterative Improvement Techniques for Combinatorial Optimisation:
Genetic algorithms, simulated annealing, tabu search, neural nets,
etc applied to scheduling and/or planning.

* Artificial Intelligence and Operations Research: Comparative studies
and innovative applications combining AI and OR techniques applied
to scheduling and/or 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.


We welcome two categories of paper submission:

Full papers: (max 8 pages). These should report work in progress or
completed work. Authors of full papers that are accepted by the
Programme Committee will be invited to give a talk on the paper.

Short papers: (2-4 pages) These 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.

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 will take place through the EasyChair web site

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