AI for Computer Games

This module introduces methods of Artificial Intelligence used in Computer Games

Aims of Module

1. To teach students how to use standard game artificial intelligence techniques for an action game.
2. To provide students with an understanding of alternative game AI architectures and techniques (such as artificial neural networks, agent- architectures and Bayesian networks.)

Learning Outcomes

On completing this module, students will be able to:

1. Design and construct an artificial intelligence for a simple game.
2. Implement a pathfinding algorithm on a two-dimensional static terrain map.
3. Use an artificial intelligence engine to specify the behaviour of a computer-controlled entity in a game.
4. Evaluate the potential value of alternative AI architectures and techniques for a given problem.

Outline Syllabus

• The structure and design of a typical game AI. 40%
• Pathfinding algorithms. 20%
• The use of an artificial intelligence engine. 20%
• Overview of alternative or emerging game AI techniques. 20%