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<pdf width="1500px">https://ceur-ws.org/Vol-1782/preface.pdf</pdf>
<pre>
Preface
The PlanSIG workshop is (usually) a yearly forum where academics, industrialists, and
research students can meet and discuss current issues in an informal setting. We es-
pecially 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 contribu-
tions from around the world.
     Topics of interest of PlanSIG 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 schedul-
      ing; evaluation metrics for plans and/or schedules; verification and validation of
      plans and/or schedules. Application examples of real world problems are partic-
      ularly 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 Isola-
      tion and Recovery (FDIR); planning and scheduling in autonomous systems.
    • Artificial Intelligence and Operations Research: Comparative studies and innova-
      tive applications combining AI and OR techniques applied to scheduling and/or
      planning.
    • Constraint-based Planning/Scheduling and Control Techniques: Constraint or
      preference propagation techniques, variable/value ordering heuristics, intelligent
      backtracking/RMS-based techniques, iterative repair heuristics, etc.
    • Coordination Issues in Decentralised/Distributed planning/scheduling: Coordina-
      tion issues in both homogeneous and heterogeneous systems, system architecture
      issues, integration of strategic and tactical decision making; collaborative plan-
      ning/scheduling.
    • 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 algo-
      rithms; formal characterisation of existing planners and schedulers.
    • Intelligent Agency: Resource-bounded reasoning; distributed problem solving;
      integrating reaction and deliberation.
    • Iterative Improvement Techniques for Combinatorial Optimisation: Genetic algo-
      rithms, simulated annealing, tabu search, neural nets, etc. applied to scheduling
      and/or planning.
    • 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.
    • Planning/scheduling under uncertainty: Coping with uncertain, ill-specified or
      changing domains, environments and problems; application of uncertainty rea-
      soning techniques to planning/scheduling, including MDPs, POMDPs, Belief
      Networks, stochastic programming, and stochastic satisfiability.
    • Plan Recognition: Techniques for identifying plans, actions, and goals, and par-
      ticularly the connection between such techniques and traditional planning ap-
      proaches and representations.
    • 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 percep-
      tion, integration of planning and perceptual systems.
    The workshop received twelve submissions which have all been accepted. Ten of
those have been included in this volume.




January 2017                                                            Lukáš Chrpa
                                                                     Simon Parkinson
                                                                        Mauro Vallati
                                                                            (Chairs)
Organization
Chairs

Lukáš Chrpa         University of Huddersfield, UK
Simon Parkinson       University of Huddersfield, UK
Mauro Vallati         University of Huddersfield, UK


Program Committee

Roman Bartak          Charles University, Czech Republic
Santiago Franco       Auckland University, New Zealand
Alan Lindsay          University of Strathclyde, UK
Daniele Magazzeni     King’s College London, UK
Marco Maratea         University of Genova, Italy
Thomas L. McCluskey   University of Huddersfield, UK
Ron Petrick           Heriot-Watt University, UK
Julie Porteous        Teesside University, UK
Enrico Scala          Australian National University, UK
Ivan Serina           University of Brescia, Italy
Tiago S. Vaquero      MIT and Caltech, USA

</pre>