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Automated planning

2006VT

Status Cancelled
School National Graduate School in Computer Science (CUGS)
Division OU
Owner Lars Karlsson

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Course plan

Lectures

Recommended for

Doctoral students in computer science.

The course was last given

new course

Goals

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.

Prerequisites

CUGS "Artificial intelligence" core course or equivalent
and
CUGS "Computation II" core course or equivalent
and
CUGS "Knowledge Representation" core course or equivalent

Contents

* 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

Organization

Three meetings in Örebro with lectures and discussions, during Spring 2006. Precise dates to be announced later.

Literature

M. Ghallab, D. Nau and P. Traverso. Automated planning: theory and practice. Morgan Kauffmann, 2004. ISBN: 1-55860-856-7

Lecturers

Lars Karlsson

Examiner

Lars Karlsson

Examination

Assignments, paper review.

Credit

3,0 points

Organized by

Department of Technology, Örebro University

Comments

Related courses

* Artificial intelligence
* Introduction to Markov Decision Processes


Page responsible: Director of Graduate Studies
Last updated: 2012-05-03