Subject

Agent-based systems

Course Title

Agent-based systems
Agent-based systems

Code

F18L3S073

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

—

Prerequisites for enrolling in the course

Artificial intelligence

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 the spread of epidemics 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 at the macro level. The goal of the course is to familiarize the student with the agent-based paradigm for the representation and modeling of systems from various domains (e.g., games, robotics, social group behavior). Upon completion of the course, the student is expected to be able to design, model, and implement a single-agent or multi-agent system using appropriate development tools and platforms.

11.

Course content

Topics to be covered include agent architectures, knowledge representation, reasoning, and adaptation and learning capabilities in agents, languages and platforms for agent implementation and modeling, simulation and predictive analysis of agent systems, handling uncertainty in knowledge and reasoning, an introduction to game theory as a mathematical model for negotiation, cooperation, competition, and collocation of agents.

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 No. Author Title Publisher Year
22.2.	Additional literature No. Author Title Publisher Year