P016 Artificial Intelligence I

Faculty of Informatics
Autumn 1999
Extent and Intensity
4/0. 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. RNDr. Václav Račanský, CSc. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. Václav Račanský, CSc.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Syllabus
  • The Prolog language.
  • Operations and data structures.
  • Problem-solving strategies. Depth-first search strategy. Breadth-first search strategy.
  • Heuristics. Best-first search, A* search.
  • Problem reduction and AND/OR graphs. The game. The minimax principle. The alpha-beta algorithm.
  • Expert systems. Backward chaining, the uncertainty, forward chaining, frames.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Autumn 1995, Autumn 1996, Autumn 1997, Autumn 1998, Autumn 2000, Autumn 2001.
  • Enrolment Statistics (Autumn 1999, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn1999/P016