Introduction Artificial Intelligence A

Teaching methods

Lectures, question-and-answer seminars and practice sessions.

Pre-requisites

Some knowledge of mathematics, programming and formal logic is beneficial.

Objectives

The overall learning aims of the course are that students will be able to:

  • Recognise typical AI problems, explain typical features of AI problems and think up examples of AI problems.
  • Explain the relationship between a problem space and a search tree, explain fundamental search methods and their differences, produce an algorithm in pseudo code for elementary search techniques and select and apply search techniques in basic examples.
  • Cite examples of different types of knowledge representation and produce effective types of representation for basic examples.
  • Explain the methods for solving constraint satisfaction problems, and use them in basic examples.
  • Explain the essence of different learning methods and elaborate on the details of these methods in basic examples.

Contents

The aim of the course is to give students a first impression of the field of Artificial Intelligence, without going into too much technical detail. The course will cover:

  • What Artificial Intelligence is and an example of how AI techniques can be applied to an existing software system.
  • Fundamental search techniques and their application.
  • Types of knowledge representation, the main languages which are used and an example of their application in the field of Artificial Intelligence.
  • Constraint satisfaction problems.
  • Learning through computers, the main techniques which are used and an example of their application.

Literature

The following book is compulsory for AI students and is recommended for Computer Science students:

  • Poole, D.I.R. & Mackworth, A.K.P. Artificial Intelligence: Foundations of Computational Agents. Cambridge University Press, 2010, ISBN 978-0-521-51900-7.
    (The entire book is legitimately available via http://artint.info/html/ArtInt.html).

Course ID
SOW-BKI121
Credits
4 ec
Level
AI.B1
Scheduled
1st semester
Show schedule
SWS / PersoonlijkRooster

Lecturers

Included in