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Welcome to the course on AI planning.
Planning is one of the most important
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aspects of intelligent behavior.
The ability to identify and select
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appropriate activity, and to project
forward the consequences of executing
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that activity, is fundamental to humans
and intelligent robots alike.
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The planning course lasts five weeks.
In the first week of this course, we will
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formally define the problem solved by
planning algorithms and talk about the
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context in which planning is used.
After that in week two, we will describe
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some basic AI techniques used for problem
solving in general, and planning problems
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in particular.
This will leave you with a good
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understanding of the STRIPS planning
system.
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In week three, we will look at different,
a different approach to the same problem,
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namely, plan space search.
In addition, we will cover hierarchical
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planning, which addresses a similar
problem and has been used in many real
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world applications.
Week four gets us closer to the
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state-of-the-art in planning research,
introducing some of the techniques used
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in the fastest planners available today.
Finally, in week five, we will talk more
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about application areas in which they AI
planning has been used, and some more
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advanced topics.
The course is going to make use of
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lectures on video, supplementary material
on a wiki, and we'll give you some links
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to some AI planners to try, along with
relevant online resources, and some
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recommended quite short readings.
There'll be a number of quizzes and
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online assessments to monitor your
progress.
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We're going to encourage you to use the
course social platform, which includes
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the discussion forums in the wiki.
There's going to be a course Twitter tag
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and there's also a virtual world meeting
space for you to try.
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Full details of all aspects of the social
platform are on the course website.
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We hope you will enjoy the course and
will learn something useful.
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