FI:PB016 Introduction to AI - Course Information

PB016 Introduction to Artificial Intelligence

Extent and Intensity

2/0. 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. Aleš Horák, Ph.D. (lecturer)
Mgr. Lukáš Svoboda (assistant)
Mgr. Tomáš Čapek (assistant)
Mgr. Martin Povolný (assistant)

Guaranteed by

prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics

Timetable

Wed 15:00–16:50 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

• Applied Informatics (programme FI, B-AP)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-SO)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)

Course objectives

Introduction to problem solving in the area of AI (based on the programming language PROLOG)

Syllabus

• The Prolog language.
• Operations and data structures.
• State space searching.
• Heuristics. Best-first search, A* search.
• Constraint Satisfaction Problems.
• Game solving. The minimax principle. The alpha-beta algorithm.
• Intelligent agents, propositional logic, first order logic.
• Knowledge representation and reasoning.
• TIL - transparent intensional logic.
• Learning, decision trees, neural networks.
• Natural language processing.

Literature

• Artificial intelligence : a modern approach, 2nd.ed. (objednáno). info
• BRATKO, Ivan. Prolog programming for artificial intelligence. 3rd ed. Harlow: Addison-Wesley, 2001, xxi, 678 s. ISBN 0-201-40375-7. info
• NORVIG, Peter and Stuart Jonathan RUSSELL. Artificial intelligence :a modern approach. Upper Saddle River: Prentice Hall, 1995, xxviii, 93. ISBN 0-13-103805-2. info
• Sylaby přednášek.

Assessment methods (in Czech)

Závěrečné hodnocení se skládá ze 2 částí - průběžné a závěrečné písemky. Účast na přednáškách není povinná.

Language of instruction

Czech

Further Comments

The course is taught annually.

Listed among pre-requisites of other courses

• PA026 Artificial Intelligence Project
  PB016 || IV126 || PV021 || PV056  

• Enrolment Statistics (Autumn 2004, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2004/PB016