# AE3M33UI: Artificial Intelligence

The course provides theoretically deeper knowledge of artificial intelligence in the range required by the Robotics branch of study. It consists of several parts: selected topics in pattern recognition and machine learning, basics of multiagent systems theory, and artificial life. The course emphasizes the relation of theoretical foundations and applications.

Master study program Cybernetics and robotics, compulsory course of Robotics branch.

The course is finished with an **assessment** and an **exam**.

After completion of this course, students get **6 credits**.

This corresponds to 2 hours of lecture, 2 hours of excercises and **6 hours of home work each week**!

## Assessment requirements

We will tolerate **at most 2 absences**.

In both parts of the semester (machine learning, multiagent systems), students can gain at most 20 points, i.e. 40 points in total.

Each part will contain 1 or more evaluated assignments (homeworks); students must hand in their solutions (report and/or program code).

**Late policy:** late solutions will be penalized by 4 points for each started week of delay.

Students must get **at least 20 points**, i.e. **at least 10 points from each part**.

## Exam

During the semester, students can get at most 100 points: 40 points for task solutions and 60 points for exam. To successfully pass the exam, students need to get at least 30 points out of 60, i.e. 50 %.

Example of exam for the machine learning part (

Česky,

English)

Example of exam for the intelligent agents part (

Česky,

English)

## Literature

Mařík V., Štěpánková O., Lažanský J. a kol: Umělá inteligence 1-5, Academia, Praha, 1993-2007

[AIMA3] Russel S. a Norvig P.: Artificial Intelligence: A Modern Approach (3rd edition), Prentice Hall, 2010

[AIMA] Russel S. a Norvig P.: Artificial Intelligence: A Modern Approach (2nd edition), Prentice Hall, 2003

[RLAI] Sutton, S. R. Barto, A. G.: Reinforcement Learning: An Introduction, The MIT Press, 1998,

available on-line
Vidal, J. M.: Fundamentals of Multiagent Systems with NetLogo Examples, 2009,

available on-line