Traditional lectures are used to convey knowledge from teacher to student, and students are actively encouraged to engage in discussion during class. During the practical sessions, students will undertake various laboratory exercises implementing and exploring a variety of algorithms. Group learning is also utilised via a module group project and also a cross-module group project as possible. A term paper will involve a more in-depth study of the topics raised.
Module Aim:
To immerse students in the formal theory, and the application of contemporary techniques in Artificial Intelligence for computer games development.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1
Compare and contrast a number of search techniques including within adversarial environments
LO2
Illustrate different techniques for modelling/implementing the Game space
LO3
Apply appropriate AI techniques to enhance the Gaming experience
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
Module Content & Assessment
Indicative Content
What is Intelligence?
Turing Test. Chinese Room. Philosophical Implications, AI in Games Context.