This workshop aims to bring together researchers interested in different aspects of planning and scheduling problems, and to introduce new researchers to the community. Although the primary target of this series of workshops is the Italian community of P&S, the aim is to attract an international gathering, thus expecting contributions and participations from around the world.
Applicants are expected to be conducting research in the field of Automated Planning & Scheduling.
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. Application examples of real world problems are particularly welcomed.
- Architectures: 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: 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.
- Hybrid Systems: planning with mixed discrete-continuous domains; hybrid systems applications; novel benchmark problems involving hybrid dynamics; hybrid planning domain modelling; plan validation and execution.
- 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.