Doctoral students in computer science.
The course was last given
The course aims at giving students a good understanding of modern planning techniques and the kind of problems they address. Planning is an area which has witnessed a lot of progress the last decade, and which now has reached a level of maturity where it beings to being applicable to real-world problems such as manufacturing and mobile robotics.
CUGS "Artificial intelligence" core course or equivalent
CUGS "Computation II" core course or equivalent
CUGS "Knowledge Representation" core course or equivalent
* Review of planning concepts: planning representations, state-space and
plan-space planning, complexity, planning graphs
* Techniques from other areas: satisfiability and constraint satisfaction
* Temporal planning
* Integrated planning and scheduling
* Planning under uncertainty: model-checking techniques
* Planning applications
Three meetings in Örebro with lectures and discussions, during Spring 2006. Precise dates to be announced later.
M. Ghallab, D. Nau and P. Traverso. Automated planning: theory and practice. Morgan Kauffmann, 2004. ISBN: 1-55860-856-7
Assignments, paper review.
Department of Technology, Örebro University
* Artificial intelligence
* Introduction to Markov Decision Processes
Page responsible: Director of Graduate Studies
Last updated: 2012-05-03