| Unit name | Artificial Intelligence with Logic Programming |
|---|---|
| Unit code | COMSM0005 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Professor. Peter Flach |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
None |
| School/department | Department of Computer Science |
| Faculty | Faculty of Engineering |
Artificial Intelligence (AI) studies computational techniques to solve problems that require intelligence when attempted by humans. This unit focuses on AI techniques that employ logical inference and knowledge representation. The aim of the unit is to equip the student with the skills and understanding necessary to appreciate and use logic-based techniques for the solution of challenging problems requiring the integration of a range of these techniques.
After successfully completing this unit, the student will be able to: (1) Understand the main techniques for intelligent reasoning and learning using logic-based knowledge representation. (2) Implement and apply these techniques to solve practical problems by means of the declarative programming language Prolog. (3) Design integrated solutions to challenging problems that require a range of AI techniques.
2 hours of lectures per week; 2 hours of unsupervised labs per week with access to a helpdesk
2-hour written exam (50%) assessing learning outcome (1). Three programming assignments (10%, 15% and 25%) assessing learning outcomes(2) and (3).
Peter Flach. Simply Logical - intelligent reasoning by example. John Wiley and Sons. 1994. ISBN: 0471 94152 2. Price: �29.95. Essential Luc De Raedt. Logical and Relational Learning. Springer. 2008. ISBN: 9783540200406 Price: �42.50. Recommended Ivan Bratko. Prolog programming for Artificial Intelligence. 3d edition. Addison Wesley. 2000. ISBN: 0201403757 Price: �29.99. Recommended Robert Kowalski. Logic for problem solving. North Holland. 1979. ISBN: 0444003681 Price: Recommended
