PB016 Artificial Intelligence I

Faculty of Informatics
Autumn 2002
Extent and Intensity
3/0. 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.
Timetable
Fri 11:00–13:50 D2
Prerequisites (in Czech)
! P016 Artificial Intelligence I
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
there are 8 fields of study the course is directly associated with, display
Course objectives (in Czech)
Je probrán úvod do problematiky řešení úloh z oblasti umělé inteligence s využitím jazyka Prolog.
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.
Literature
  • Sylaby přednášek.
Language of instruction
Czech
Further Comments
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2002, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2002/PB016