***************** SUBMISSION DEADLINE 5th OCTOBER 2005!!!! ****************
************************ CALL FOR REGISTRATION *************************
The 24th Workshop of the UK PLANNING AND SCHEDULING Special Interest Group
... is visiting London, and will be held at:
City University, London
December 15-16, 2005
**** http://www.soi.city.ac.uk/~cf609/SIG2005.htm ****
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 registration: Mon 5th December, 2005
PlanSIG workshop: Thurs 15th - Friday 16th December 2005
ATTENDANCE
Anyone with an interest in Planning and Scheduling is welcome - it is not
necessary to submit a paper in order to attend.
However places are limited and priority will be given to presenters and
then first-come-first served.
REGISTRATION
A registration form is available on the website - it is only 85 UKP if
received by the deadline (5th December 2005).
This includes attendence, proceedings, lunches, tea/coffee and the
conference dinner on the evening of the 15th December.
Accommodation will need to be booked separately by attendees, but a list
of hotels convenient for City University is given on the website.
SCOPE
A list of accepted papers will be posted shortly.
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, 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.
PROGRAMME COMMITTEE
Chris Beck, University of Toronto
Ken Brown, University College Cork
Edmund Burke, University of Noottingham
Alex Coddington, University of Strathclyde
Maria Fox, University of Strathclyde
Max Garagnani, Open University
Tao Gong, City University, London
Tim Grant, University of Pretoria
Peter Jarvis, NASA Ames Research Center
John Levine, University of Strathclyde
Derek Long, University of Strathclyde
Lee McCluskey, University of Huddersfield
Julie Porteous, University of Strathclyde
Patrick Prosser, University of Glasgow
Sam Steel, University of Essex
Andrew Tuson, City University, London
PROGRAMME CHAIR:
Submissions and enquiries should be sent to the Programme Chair:
Andrew Tuson
Department of Computing
City University, London
Northampton Square
London EC1V 0HB
England
Tel: +44 (0)20 7040 8164
Fax: +44 (0)20 7040 8845
Email: [log in to unmask]
Web: http://www.soi.city.ac.uk/~andrewt/
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