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 Programming

OR
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
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024

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
TOTAL150

Assessment

Type Task Weighting ULO's
PortfolioIndividual 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.