The aim of this course is to provide a solid grounding in artificial intelligence techniques for planning, with a comprehensive view of the wide spectrum of different problems and approaches, including their underlying theory and their applications. Intended learning outcomes are:
The following slides were presented in the lectures. They are available in three formats: PDF slides, PDF notes, and Powerpoint.
|Gerhard Wickler||Introduction||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||Situation Calculus||PDF slides, PDF notes, Powerpoint|
|Austin Tate||Planning in Context||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||State-Space Search||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||Plan-Space Search||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||HTN Planning||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||Alternative Representations||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||Graphplan||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||SAT-Based Planning||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||Temporal Planning||PDF slides, PDF notes, Powerpoint|
|Gerhard Wickler||Scheduling||PDF slides, PDF notes, Powerpoint|
There are two assessed assignments to be completed for the course. Each should take 15 hours to do. Together, they will account for 30% of the final mark of the course.
The assignments are to be handed out in week 4 and 7.
|1.||PDF, MS Word||Nov 3, 2010, 4pm|
|2.||PDF, MS Word||Nov 26, 2010, 4pm|
The course also includes an element of self study. It is expected that students work through the material presented in each lecture shortly after the lecture. Also, additional reading material will be pointed out during the lectures. Finally, there will be topics that are not covered in the lectures and students are expected to read up on such topics. Details of what is expected will be provided during the lectures.
The main course book:
papers for Planning in Context:
papers for Practical HTN Planning:
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