Module 02562 (2001)
Syllabus page 2001/2002
06-02562
Planning
Level 3/H
Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus
The Module Description is a strict subset of this Syllabus Page. (The University module description has not yet been checked against the School's.)
Relevant Links
Outline
The basic notions and problems of planning are presented. In particular we discuss the frame problem. In order to achieve practical results, the general planning problem has been restricted to special cases like the blocks world with complete information and one agent. For this setting, different procedures were developed; in particular the linear planning system STRIPS, non-linear planning and hierarchical planning with abstraction of the situation and of the operators will be presented. The advantages and disadvantages of the different approaches are discussed.
Aims
The aims of this module are to:
- introduce the basic concepts and terminology of planning
- give an overview on the main approaches to planning, including the classical approaches as well as recent developments
- present the strengths and limitations of the different approaches
- enable students to read up-to-date research papers in planning
Learning Outcomes
| On successful completion of this module, the student should be able to: | Assessed by: | |
| 1 | explain the main approaches in classical planning as well as recent methods of planning | to-be-completed |
| 2 | understand and discuss the advantages and limitations of these approaches | to-be-completed |
| 3 | apply the presented planning algorithms to unseen examples | to-be-completed |
| 4 | explain the relationship between approaches to mechanised planning and human planning. | to-be-completed |
| 5 | read, understand, and give a presentation on a recent research paper in the field | to-be-completed |
Restrictions, Prerequisites and Corequisites
Restrictions:
None
Prerequisites:
Level 1 AI modules or 06-08775 (Introduction to AI) recommended
Co-requisites:
None
Teaching
Teaching Methods:
2 hrs/week lectures, discussion classes, short presentations of original publications.
Contact Hours:
Assessment
- Supplementary (where allowed): As the sessional assessment
- 2 hr examination (80%), continuous assessment (preparation & presentation of a seminar) (20%).
Recommended Books
| Title | Author(s) | Publisher, Date |
| Introduction to Artificial Intelligence | Charniak E & McDermott D | 1985 |
| Artificial Intelligence: A Modern Approach | Russell S & Norvig P, | 1995 |
Detailed Syllabus
- to-be-written
Last updated: 29 July 2001
Source file: /internal/modules/COMSCI/2001/xml/02562.xml
Links | Outline | Aims | Outcomes | Prerequisites | Teaching | Assessment | Books | Detailed Syllabus