Learning outcomes

The goal of this course is to provide an overview of various subfields of artificial intelligence through different programming techniques that are used in these fields. Artificial Intelligence programming techniques are demonstrated through the logic programming language Prolog which is a prerequisite for this course.

Contents

Definitions and applications of artificial intelligence and various programming techniques utilized in its subfields. Classification of Prolog-programming methods. Applications of these methods in central subfields of artificial intelligence. These subfields include problem solving, heuristic search, planning, knowledge representation, expert systems, natural language processing, machine learning and non-standard logics.

Teaching methods

Teaching method	Contact	Online
Lectures	40 h	0 h
Tutorials	16 h	0 h

40 h of lectures, 16 h of exercises and instruction for project work.

Teaching language

Finnish

Evaluation

Numeric 1-5.

Recommended year of study

Advanced studies, 4th year.
The course is not lectured every year.

Study materials

Lecture notes.

1. Sterling, L.  Shapiro, S., The Art of Prolog - Advanced Programming Techniques. The MIT Press 1994
2. Poole, P., Mackworth, A., Goebel, R.,  Computational Intelligence: a logical approach. Oxford University Press 1998
3. Bratko, I., PROLOG Programming for Artificial Intelligence. Addison-Wesley 2000.

Belongs to following study modules