Program Overview

Program Overview

The Artificial Intelligence for Games program is a comprehensive course that explores the application of artificial intelligence techniques in the development of dynamic environments and autonomous entities in computer games.

Description

Computer Games and Games related formats are an essential branch of the media industry with sales exceeding those of the music or the movie industry. In many games, it is necessary to build up a dynamic environment with autonomously acting entities. This comprises any types of mobile objects, non-player characters, computer opponents or the dynamics of the environment itself. To model these elements, techniques from the area of Artificial Intelligence allow for modelling adaptive environments with interesting dynamics. From the point of view of AI Research, games currently provide multiple environments which allow to develop breakthrough technology in Artificial Intelligence and Deep Learning.

Course Details

• The lecture provides an overview of techniques for building up environment engines and making these suitable for large-scale, high-throughput games and simulations.
• The course discusses the foundations of modelling agent behaviour and how to evaluate it in deterministic and non-deterministic settings.
• Based on this formalism, the course discusses how to analyse and predict agent or player behaviour.
• The course introduces various techniques for optimizing agent behaviour such as sequential planning and reinforcement learning.

Department and Staff

• Department: Institut f³r Informatik
• Lecturer: Matthias Schubert
• Assistants:
  • Michael Fromm
  • Susanne Grienberger
  • Sandra Obermeier
• Correctors:
  • Michael Fromm
  • Sandra Obermeier

Enrollment and Course Material

• Enrollment key for the Moodle Course: ReadyPlayer1
• Course participants: 315
• Enrolment: Thu 01 Apr :00 Thu 30 Sep :59
• Deregistration only until Thu 30 Sep :59
• Course material is only accessible to members of the course, e.g. for participants, tutors, correctors or administrators.

Exams

• Main Exam:
  • Register from: Wed 07 Jul :00
  • Register to: Tue 27 Jul :00
  • Time: Tue 27 Jul :00 14:40
• Retry Exam:
  • Register from: Thu 23 Sep :00
  • Register to: Sun 10 Oct :00
  • Time: Mon 11 Oct :00 14:40