Knowledge Representation and Reasoning

Undervisningsspråk

English

Læringsutbyte

Upon completion of the course the student should be able to:

• demonstrate command of theoretical knowledge about principles for logic-based representation and reasoning.
• demonstrate a basic understanding of production systems, frames, inheritance systems and approaches to handling uncertain or incomplete knowledge.
• demonstrate a basic understanding of principles for reasoning with respect to explanation and planning.
• analyze and design knowledge based systems intended for computer implementation.
• demonstrate a broad understanding of how knowledge based systems work which provides a solid foundation for further studies and for assessing when knowledge based approaches to problem solving are appropriate.

Kontaktinformasjon

advice@info.uib.no

Undervisningssemester

Autumn

Eksamenssemester

Autumn

Undervisningsspråk

English

Studienivå

Bachelor level

Krav til studierett

Open

Mål og innhald

The students will learn both theoretical and technical knowledge and research methodology which is valuable for carrying out research in artificial intelligence. Through the course, the students will:

1. Understand general concepts in artificial intelligence
2. Learn widely applied techniques for problem solving
3. Learn how to design intelligence applications

The course provides an introduction to the theoretical and technical issues of artificial intelligence. We will focus on some of the basics common to most areas of AI, such as problem solving, heuristic search, knowledge representation, and reasoning under uncertainty. We will also cover important applications of artificial intelligence including expert systems and agent architectures. Some reflections on and hands-on experience in design and development of intelligent systems will also be offered.

Læringsutbyte/resultat

Upon completion of the course the student should be able to:

• demonstrate command of theoretical knowledge about principles for logic-based representation and reasoning.
• demonstrate a basic understanding of production systems, frames, inheritance systems and approaches to handling uncertain or incomplete knowledge.
• demonstrate a basic understanding of principles for reasoning with respect to explanation and planning.
• analyze and design knowledge based systems intended for computer implementation.
• demonstrate a broad understanding of how knowledge based systems work which provides a solid foundation for further studies and for assessing when knowledge based approaches to problem solving are appropriate.

Tilrådde forkunnskapar

INFO102 or equivalent. Solid background in programming.

Fagleg overlapp

Emnet overlapper fagleg med INFO281.

Undervisning og omfang

Lectures and data labs, normally 2 + 2 hours per week for 12-15 weeks.

Obligatoriske arbeidskrav

3 mandatory assignments.

The assignments must be approved in the teaching semester, and they are valid in this and the following semester.

Vurderingsformer

Written exam 4 hours.

Karakterskala

The grading system has a descending scale from A to E for passes and F for fail.

Emneevaluering

INFO282 is evaluated by students every three years, by the Department every year.

Kontaktinformasjon

advice@info.uib.no