Artificial Intelligence for Games

Unit Code:HIT3046

Credit Points	Duration	Contact Hours	Campus	Prerequisite	Corequisite
12.5 Credit Points	1 Semester or equivalent	48 Hours	Hawthorn	Software Development in Java (HIT2037) or HIT2302 Object-Oriented Programming or HIT3181 Technical Software Development	Nil

Related Course/s:

A unit of study in the Bachelor of Information and Communication Technology ( I030) and Bachelor of Science (Professional Software Development)

Aims & Objectives:

Aims

The aim of this unit is for students to understand and utilise artificial intelligence concepts and techniques for game environments and game development

Learning Outcomes
After successfully completing this unit students will be able to:

Select appropriate techniques for implementing AI for a given game scenario or genre
Discuss game theory and the relevance of strategic, tactical and hierarchical AI approaches and use in games
Implement a number of AI entities using a range of AI techniques applicable to particular game design contexts

Teaching Methods:

Lectures (24 hrs), Tutorial (lab) (24 hrs)

Assessment:

Labs and Assignments (formative), Portfolio

Generic Skills Outcomes:

Students will be provided with feedback on progress in attaining the following generic skills:
· Problem solving skills
· Communications skills
· Ability to tackle unfamiliar problems
· Ability to work independently

Content:

Search and optimisation.
Knowledge representation, reasoning systems, machine learning.
Evolutionary systems, artificial neural networks, collective systems.
Game theory, design and development, rule design, game balancing.
Scripting methods.
AI evaluation.