FI:PA161 Advanced AI Issues - Course Information

PA161 Advanced Artificial Inteligence Issues

Extent and Intensity

2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).

Teacher(s)

doc. Ing. Jan Žižka, CSc. (lecturer)

Guaranteed by

prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. Ing. Jan Žižka, CSc.

Timetable

Wed 18:00–19:50 B011 and each even Wednesday 16:00–17:50 B117

Course Enrolment Limitations

The course is only offered to the students of the study fields the course is directly associated with.

fields of study / plans the course is directly associated with

• Applied Informatics (programme FI, N-AP)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS)

Course objectives

This subject covers selected parts of the modern approach to Artificial Intelligence employing agents. Intelligent artificial agents are equipped with various methods for solving different tasks including planning and mutual cooperation.

Syllabus

• Intelligent agents. Solving problems using searching methods, informed searching. Playing games. Logically reasoning agents, creating knowledge base, logical reasoning systems. Planning, practical planning, planning and activities. Uncertain knowledge and reasoning. Learning by observation. Reinforced learning, learning and knowledge. Communication agents, language communication. Perception. Robotics. Contemporary and future trends of Artificial Intelligence.

Literature

• Russell, S., Norvig, P.: Artificial Intelligence : A Modern Approach (Second Edition). Prentice Hall, 2003. ISBN 0-13-790395-2.

Assessment methods (in Czech)

Výuka probíhá formou přednášek a cvičení. Cvičení (dvě hodiny jednou za 14 dní) jsou zaměřena na samostatná programová řešení jednoduchých základních úkolů umělé inteligence zadaných v přednášce. Zkouška je písemná.

Language of instruction

Czech

Further Comments

The course is taught annually.

• Enrolment Statistics (Autumn 2003, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2003/PA161