[PlanetKR] CFP: 31st Workshop of the UK Planning and Scheduling Special Interest Group

Ron Petrick rpetrick at inf.ed.ac.uk
Wed Oct 16 03:04:43 EST 2013


University of Edinburgh
Edinburgh, Scotland, UK
29-30 January 2014



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. Accepted original papers will appear in PlanSIG's
proceedings. Authors of papers describing work already published
must clearly indicate this information in their submission.


Submissions:            2 December 2013
Notification:          13 December 2013
Early registration:    16 December 2013
Camera ready:           3 January  2014
Workshop:           29-30 January  2014


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.

Details about the submission procedure will be announced in the near future.


Ron Petrick, University of Edinburgh
Email: rpetrick at inf.ed.ac.uk

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