Computer Science, Second Cycle, Distributed Artificial Intelligence and Multi-Agent Systems, 3 credits

Learning outcomes

Knowledge and Comprehension
After the completed course, the student shall be able to

• explain basic principles behind Multi-Agent Systems,
• discuss different methods and architectures for constructing a single agent as part of a Multi-Agent Systems, as well as a full Multi-Agent Systems and
• report about different forms of distributed decision making and their properties.

Proficiency and ability
After the complete course, the student shall be able to

• develop and discuss solution concepts for a complex distributed problem using Multi-Agent Systems techniques.

Values and attitude
After completed course, the student shall be able to

• discuss the computational and representational considerations necessary for different applications of Multi-Agent Systems.

Content

The course will cover the following topics

• Introduction to Multi-Agent Systems, concepts and suitable application area,
• Agent- and Multi-Agent Systems architectures,
• Task sharing and result sharing approaches to distributed problem solving,
• Multi-Agent planning and coordination,
• Distributed decision making, and
• Practical applications.

Examinations and grades

Exercises, 1.5 credits (Code: A001)
Grades used are Fail (U), Pass (G) or Pass with Distinction (VG).

Seminars, 1.5 credits (Code: A002)
Grades used are Fail (U), Pass (G) or Pass with Distinction (VG).

According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may determine which grading system is to be used. The grade must be determined by a teacher specifically nominated by the university (the examiner).

In accordance with university regulations on grading systems for first and second-cycle courses and study programmes (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades is to be used: fail (U), pass (G) or pass with distinction (VG). For courses included in an international master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the A to F grading scale is to be used. The vice-chancellor, or a person appointed by them, may decide on exceptions from this provision for a specific course, if there are special grounds for doing so.

The grades used on this course are Fail (U), Pass (G) or Pass with Distinction (VG).

Comments on grades

Grades for the entire course
To obtain the grade Pass with Distinction (VG) on the course as a whole, Pass with Distinction (VG) is required for both examination parts.

Modes of assessment

• Exercises (code A001): Written assignment
• Seminars (code A002): Oral examination

For students with a documented disability, the university may approve applications for adapted or other modes of assessment.

For further information, see the university's local examination regulations.

Specific entry requirements

At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English A" from the Swedish Upper Secondary School.

For further information, see the university's admission regulations.

Other provisions

The course is given in English.

Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.

Reading list and other learning resources

Course literature will be provided by the teacher during the course.