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.
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.
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.
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
Agency: resource-bounded reasoning; distributed problem solving;
integrating reaction and deliberation.
learning in the context of planning and execution; learning new
plans and operators; learning in the context of scheduling and schedule
Based Approaches: case-based planning/scheduling; plan and operator
learning and reuse; incremental planning.
Systems: environmentally driven devices/behaviours; reactive
control; behaviours in the context of minimal representations; schedule
Motion and path planning; planning and control; planning and perception,
integration of planning and perceptual systems.
Planning/Scheduling and Control Techniques: constraint/preference
propagation techniques, variable/value ordering heuristics, intelligent
backtracking/RMS-based techniques, iterative repair heuristics,
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
Improvement Techniques for Combinatorial Optimisation: genetic
algorithms, simulated annealing, tabu search, neural nets, etc applied
to scheduling and/or planning.
Intelligence and Operations Research: comparative studies and
innovative applications combining AI and OR techniques applied to
scheduling and/or planning.
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.
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.
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.
papers should be prepared in the AAAI
style. Please prepare your paper using the template in DOC
format or LaTeX style sheet,
just remove the AAAI copyright. The language of all papers and presentations
should be English.
can be submitted via e-mail (preferred) or made available on the
Web. In either case, documents should be in gzipped postscript or
PDF format and be named "author.ps.gz" or "author.pdf.gz", using
the name of the first author. An e-mail message containing either
the file or its URL (e.g. http://..../author.ps.gz) should reach
the Workshop Chair by 5th October 2007.
submissions will be reviewed by (at least) two referees, and successful
submissions will appear in the Workshop Proceedings (ISSN 1368-5708).
Accepted papers will also be made available via the SIG web-site.
to all who submitted their papers. Reviews and notification e-mails
have been sent to every corresponding author so if you did not
receive it, please contact Roman Bartak immediately.
authors might also be interested in the special
issue of Archives of Control Sciences on Constraint
Satisfaction for Planning and Scheduling.
November 5, 2007
November 16, 2007
November 19, 2007
Workshop: December 17-18, 2007
University, Czech Republic
M Agency, Czech Republic
Aylett, Herriot-Watt, UK
Chris Beck, Toronto, Canada
Ken Brown, UCC, Ireland
Edmund Burke, Nottingham, UK
Luis Castillo, Granada, Spain
Amedeo Cesta, ISTC, Italy
Alex Coddington, Strathclyde, UK
Stefan Edelkamp, Dortmund, Germany
Fernández, Madrid, Spain
Maria Fox, Strathclyde, UK
Antonio Garrido, Valencia, Spain
Tim Grant, Pretoria, South Africa
Joerg Hoffmann, Innsbruck, Austria
Peter Jarvis, NASA Ames, USA
Graham Kendall, Nottingham, UK
Philippe Laborie, ILOG, France
John Levine, Strathclyde, UK
Derek Long, Strathclyde, UK
Lee McCluskey, Huddersfield, UK
Amnon Meisels, Ben-Gurion, Israel
Barry O'Sulivan, UCC, Ireland
Sanja Petrovic, Nottingham, UK
Nicola Policella, ESA, Germany
Julie Porteous, Strathclyde, UK
Patrick Prosser, Glasgow, UK
Hana Rudová, Masaryk Uni. Czech Rep.
Wheeler Ruml, New Hampshire, USA
Rong Qu, Nottingham, UK
Sam Steel, Essex, UK
Andrew Tuson, City University, UK
Jozsef Vancza, SZTAKI, Hungary
Roman van der Krogt, 4C, Ireland
Petr Vilím, ILOG, France