Subject

Agent-based systems

Course Title

Agent-based systems
Agent-based systems

Code

F23L3S073

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

6 / Summer

Number of ECTS credits

Teacher

Kire Trivodaliiev, Sonja Gievska

Prerequisites for enrolling in the course

Artificial Intelligence or Mathematics 3 or Probability and Statistics or Business Statistics

10.

Objectives of the course programme (competences)

Agent-based modeling offers a natural metaphor for understanding and explaining many phenomena in the domain of biological and social systems – from evolution and epidemic spread to segregation and coalition formation. Many systems can be modeled as environments composed of autonomous agents that can communicate, cooperate, negotiate, oppose one another, be driven by their own interests, or act altruistically. The micro-behavior of agents guided by simple rules can give rise to new qualities and complex phenomena on a macro scale. The goal of the course is to familiarize students with the agent-based paradigm for representing and modeling systems in various domains (e.g., games, robotics, social group behavior). Upon completion of the course, students are expected to be able to design, model, and implement or simulate a single-agent or multi-agent system.

11.

Course content

1. Introductory concepts. Agent abstraction. Multi-agent systems.
2. Nondeterministic agents
3. Markov decision processes
4. Guided Learning
5. Deep learning with prompting
6. Examples and applications of incentive-based learning
7. Application of Game Theory in Multi-Agent Systems - Agent Coordination and Communication
8. Strategies for coalition formation, cooperation, voting in multi-agent systems
9. Evolutionary game theory
10. Modeling and Simulation

12.

Learning methods

Lectures using presentations, interactive lectures, exercises (using equipment and software packages), teamwork, case studies, guest lecturers, independent preparation and defense of a project assignment and a seminar paper.

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Independent assignments	15 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activities and learning	10 points
17.4.	Final exam	70 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)

19.

Requirement for obtaining a signature and taking the final exam

Activities 15.2 and 16.1 have been completed.

20.

Language of instruction

Macedonian and English

21.

Method for monitoring the quality of teaching

internal evaluation and survey mechanism

22.

Literature

22.1.

Required literature

22.2.

Additional literature

No. Author Title Publisher Year