FIT3094 - Artificial life, artificial intelligence and virtual environments - 2019

This unit introduces topics in Artificial Intelligence (AI) suited to real-time simulation and computer games development. Using a practice-based and programming-led approach, the unit explores a number of fundamental concepts, techniques and algorithms that can be used to build real-time, interactive games, virtual environments and simulations. Starting with basic concepts in 2D discrete simulation, the unit progresses to continuous, 3D models, agent simulation, bio-inspired intelligence models and search algorithms. Programs are developed using the Processing environment in Java or C++.

At the completion of this unit, students should be able to:

1. select, evaluate and apply AI software techniques to model simple intelligent behaviour in 2D discrete simulations and games;
2. select, evaluate and apply AI software techniques to model simple intelligent behaviour in 3D continuous simulations and games;
3. apply evolutionary algorithms to devise novel agents and understand their application, and that of other search algorithms, to problems requiring the search of a solution space;
4. apply methods of embodied intelligence and physicality to the development of intelligent behaviour in physical artefacts;
5. apply - through practice-based learning - design, development, execution and validation of real-time interactive software using AI techniques.

Examination (2 hours): 40%; In-semester assessment: 60%

Minimum total expected workload equals 12 hours per week comprising:

1. Contact hours for on-campus students:
   • two hours of lectures
   • One 2-hour studio
2. Additional requirements (all students):
   • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Advanced computer science

Games development