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AISB event Bulletin Item

CFP: 27th UK PLANNING AND SCHEDULING Special Interest Group



27th UK PLANNING AND SCHEDULING Special Interest Group
December 11-12 2008			 Edinburgh, UK

*** Now with submission via EasyChair
  http://www.easychair.org/conferences/?conf=ukplansig09 ***

The PlanSIG workshop is 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.

The 27th Workshop of the UK PLANNING AND SCHEDULING Special Interest  Group will be hosted by Heriot-Watt University, Edinburgh, United  Kingdom at the International Centre for Mathematical Sciences (IMCS)  in Edinburgh's New Town.

Important Dates

Submissions: October 13th 2008 to http://www.easychair.org/ conferences/?conf=ukplansig09
Notification: November 14th 2008
Early registration: November 07th-21st 2008
Final versions: November 21st
Workshop: December 11-12, 2008

Topics of interest include (but are not limited to):

Novel planning and scheduling algorithms.

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  - from Space to Computer Games.

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 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.

Knowledge engineering for planning:
domain construction tools and techniques, knowledge elicitation,  ontology development

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.

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.


Full papers: (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 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.