Artificial Intelligence for Games
24 hours face to face + blended
One Semester or equivalent
Hawthorn
Available to incoming Study Abroad and Exchange students
Overview
The aim of this unit is for students to understand and utilise artificial intelligence concepts and techniques for game environments and game development.
Requisites
Prerequisites
COS20007
Object Oriented ProgrammingOR
SWE20004 Technical Software Development
OR
COS20011 Software Development in Java
OR
COS30016 Programming in Java *
OR
COS30043 Interface Design and Development
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Learning outcomes
Students who successfully complete this unit will be able to:
- Discuss and implement software development techniques to support the creation of AI behaviour in games
- Understand and utilise a variety of graph and path planning techniques
- Create realistic movement for agents using steering force models
- Create agents that are capable of planning actions in order to achieve goals
- Combine AI techniques to create more advanced game AI
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Live Online Lecture | 1.00 | 12 weeks | 12 |
On-campus Class | 2.00 | 12 weeks | 24 |
Online Directed Online Learning and Independent Learning | 1.00 | 12 weeks | 12 |
Unspecified Activities Independent Learning | 8.50 | 12 weeks | 102 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Portfolio | Individual | 100% | 1,2,3,4,5 |
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
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.