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Artificial Intelligence Planning

Key information

  • Module code:

    7CCSMAIP

  • Level:

    7

  • Semester:

      Autumn

  • Credit value:

    15

Module description

Aims and Learning Outcomes

This module delivers research-led education in Artificial Intelligence Planning and Modelling. It looks at algorithms for solving planning problems, the theory behind planning, including modelling paradigms, and how these can be used in applications.

 

On successful completion of this module, students will:

Be able to:

  • Understand a range of topics in classical, temporal and numeric planning
  • Work with planning modelling languages such as PDDL
  • Understand how planning can be used in applications

Syllabus

Topics will be selected from:

  • Algorithms for solving classical planning problems
  • Relaxation heuristics
  • Temporal planning
  • Discrete numeric planning
  • Planning in hybrid domains
  • Plan execution and applications of planning

 

Assessment details

100% examination

Department

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.