Friday
The 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.
This year the SIG will be held in London, ideally located for last-minute Christmas shopping!
IMPORTANT DATES
Deadline for submissions: Weds 5th October 2005 Notification of acceptance: Tues 1st November, 2005 Final copy of papers due: Tues 21st November, 2005 Deadline for registration: Mon 5th December, 2005 PlanSIG workshop: Thurs 15th - Friday 16th December 2005
SCOPE
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.
Architectures: real-time support for planning/scheduling/control; mixed-initiative planning and user interfaces; integration of planning and scheduling; 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.
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.
Co-ordination Issues in Decentralised/Distributed planning/scheduling:
co-ordination issues in both homogeneous and heterogeneous systems, system architecture issues, integ