PA161 Advanced Artificial Inteligence Issues

Faculty of Informatics
Autumn 2004
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
Thu 16:00–17:50 B411 and each odd Thursday 18:00–19:50 B116
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
there are 7 fields of study the course is directly associated with, display
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.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2002, Autumn 2003, Autumn 2005, Autumn 2006.
  • Enrolment Statistics (Autumn 2004, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2004/PA161