Artificial Intelligence in GamesLaajuus (3 cr)

Objective

Students will have basic knowledge of different AI techniques used in games. Students will be able to select and implement specific AI techniques required in a game.

Content

Introduction to game AI
Finite state machines
Path finding
Distributed AI and crowd techniques
Situation calculus and desision making architectures
Learning AI

Assessment criteria, excellent (5)

The students are able to apply their learning in variety of ways to different types of tasks.

Assessment criteria, good (3)

The students are able to use methods they have learnt during the course as required.

Assessment criteria, satisfactory (1)

The students are familiar with and proficient in the basic concepts of the course.