Planning and Scheduling
Area editorial committee
- Berthe Choueiry, EPFL, Lausanne, Switzerland
- Brian Drabble, CIRL, University of Oregon, USA
- Jim Hendler, Univ. of Maryland, USA
- Joachim Hertzberg, GMD, St. Augustin, Germany
- Witold Lukaszewicz, Warsaw University, Poland
- Sam Steel, University of Essex, United Kingdom
- Sylvie Thiebaux, IRISA, Rennes, France
- Paolo Traverso, IRST, Trento, Italy
Definition of the area
Searching for a course of activities, generating a schedule
for a given set of actions: the area of Planning and Scheduling
has a long tradition in European AI research. It is a broad area,
which traditionally covers a variety of border regions of related
fields. The work being done includes very practical and applied
research as well as formal and theoretical contributions.
For ETAI, papers are invited from the whole spectrum of AI Planning
and Scheduling research. Topics of interest include, but are not
restricted to: classical AI planning, scheduling, planning and
reasoning about action, deductive planning, temporal planning,
case-based planning, planning and complexity, plan recognition,
planning and perception, planning and learning, robot planning,
constraint reasoning in planning and scheduling, multi-agent
planning, planning under uncertainty, decision-theoretic planning,
resource management, knowledge acquisition and domain modeling for
planning and scheduling, reactive planning, cognitive models and
ontologies for planning and scheduling, planning and scheduling
systems' user interfaces, applications.